“Data Analytics’ is one of the most heard and talked about terminologies of the present tech world. For all those people who like playing with data but still have queries regarding the term, its application, and scopes, then this may prove the right read for you. In today’s world of ever-increasing competition, there is always a need to upskill oneself, and ‘data analytics’ is one such skill that is in high demand nowadays. There are a number of Data Analytics Courses at Coursera, that are available online for anyone who is interested in upskilling themselves.
What is Data Analytics?
Today all companies are going digital, by virtue of which they tend to generate a vast volume of data, including log files, transactional data, web servers, and customer-related data.
The social media websites of companies also generate tons of data nowadays. Companies store and evaluate this data to derive value from it which can help them to make meaningful and thoughtfully crafted decisions.
It is here, where the need for data analytics comes into the picture. In simplest words, Data Analytics can be defined as a process of analyzing a set of raw data to make impactful and meaningful conclusions from it, by virtue of which a business can make efficient, strategically guided, and profitable decisions for the future.
In most simple language, a data analyst’s job is to explore and analyze a given set of large data and find out hidden patterns and trends, discover correlations between them, and then derive valuable insights as to how the business can be taken to the next level. A business analyst’s job in simple words is to improve the speed and efficiency of any business.
Data analytics is one of the most important bases for a company to accelerate its growth. It’s due to data analysis only that a company evaluates its performance by converting its raw data into meaningful findings that help it strategically craft solutions or ventures for future growth.
The raw data available in companies about their performances can only be evaluated properly by using tools and processes that are part of data analytics. Data analysis helps companies to understand their customers better, evaluate their ad campaigns, personalize content, create content-driven strategies, and develop their products as per market needs.
In short, data analytics helps companies to optimize their performances, by analyzing each and every aspect very carefully and providing solutions for better future business models.
Descriptive analytics: Here the overall happenings/activities related to a particular business, in a given frame of time, are carefully studied and evaluated.
Diagnostic analytics: This type of data analytics is basically concerned with the reasoning as to why something followed a particular pattern only. The process requires a lot more different types of data inputs and their manipulation.
Predictive analytics: Here we analyze, after studying a given set of data, what is going to happen in the near term. It is basically a prediction of the events of the future by evaluating the past course of action.
Prescriptive analytics: Here we suggest what needs to be done in order to achieve the desired output or target. What needs to be amended or added to the existing system of business to fulfill the anticipated result?
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There are a number of tools involved in the process of data analytics.
1. Python:
Python is an object-oriented open-source programming language. It supports a range of libraries for data manipulation, data visualization, and data modeling.
2. R:
An open-source programming language, R is majorly used for numerical and statistical analysis. It provides a range of libraries for data analysis and visualization.
It is a simplified data visualization and analytics tool. This helps you create a variety of visualizations to present the data interactively, build reports, and dashboards to showcase insights and trends.
4. Power BI:
Power BI is a business intelligence tool that has functions on a ‘drag and drop’ system. Power BI is supported with features that help one ask questions about the given set of data and get immediate perceptions on the same.
5. QlikView:
QlikView offers interactive analytics with in-memory storage technology to analyze vast volumes of data and use data discoveries to support decision-making.
6. Apache Spark:
It is an open-source data analytics engine in which the data is processed in real-time. It carries analytics in the most sophisticated way using SQL queries and machine learning algorithms.
7. SAS:
Being a statistical analysis software, SAS helps one perform analytics, visualize data, write SQL queries, perform statistical analysis, and build machine learning models to make future predictions.
Data analytics is applied in almost every sector of the business world. A few of its applications are mentioned below:
1. Retail:
In the retail segment, Data analytics proves helpful by making the retailer understand the buying habits and customers’ needs that help them to predict upcoming trends and recommend new products. This helps them boost their business efficiently and smartly.
2. Healthcare:
In the field of Healthcare, Data analytics helps to evaluate patient data to provide diagnoses and treatment options for the ailment. Data analytics has been helpful in discovering many new drug development methods as well.
3. Manufacturing:
In this sector, Data analytics helps analyze the old patterns of profit and loss and the reasons behind them. Hence it helps the manufacturing market discover new cost-saving opportunities.
4. Banking sector:
Data analytics proved to be a boon to the banking and financial sector as it helps them to find out probable loan defaulters and customer churn-out rates.
5. Logistics:
Data analytics is used by various logistics companies to develop new business models and optimize routes. This, in turn, ensures that the delivery reaches on time in a cost-efficient manner.
Coursera is an online education provider that offers all the courses via online mode only.
Popularly known as MOOCs or Massive Open Online Courses, at present, Coursera boasts of offering more than 5400 online courses created by partner institutions/universities, from all across the globe.
Coursera helps you get job-ready in less than a year’s time, for many in-demand career fields by offering professional Certificates on successful completion of courses.
Coursera provides a platform for participants to earn career credentials; they also get to apply their knowledge to hands-on projects that help them showcase their skills to potential employers, and many times they get access to job search resources.
The certificates from Coursera hold a good value in the market. In spite of not being equivalent to traditional degrees or certifications that the universities offer, the certificates from Coursera still prove to be valuable add-ons for your resume and for professional development or enhancing job opportunities.
The best feature of Coursera courses is that they provide a series of pre-recorded video lectures that can be watched as per any convenient and comfortable schedule by the participant. They also offer a wide variety of channels such as student discussion forums, homework/assignments, and online quizzes or exams, where students can test their abilities stand amongst their counterparts, and get prepared for greater challenges and opportunities.
In general, Coursera courses are free to audit (i.e. watch videos) but if one wants to earn a Course Certificate, he/she will need to pay. There is an option to pay for a certificate of completion that varies from course to course.
For the participants who cannot afford the cost of the certificate, there is a provision for financial help from Coursera.
Coursera is accessible on any web browser.
Registration is mandatory to get access to the full course (lectures, videos, and supplemental materials).
There is an option to download lecture videos and other course materials for viewing offline.
The majority of courses are offered in English. There are some other languages also in which certain courses are being offered including Chinese, French, Russian, Spanish, Portuguese, Turkish, Ukrainian, German, Arabic, Italian, Japanese, Hebrew, and Italian.
Any kind of Technical support is available via the learner help center or via peer-led help forums. Coursera does not provide any dedicated help desk or phone number for technical issues.
The best part is there are a number of data analytics courses at Coursera, the details of which have been shared below.
There are 8 Data analytics courses at Coursera, that will earn you a Google Data Analytics Professional certificate.
Best features of Data analytics courses at Coursera:
The participants gain skills and certificates from in-demand courses and get prepared for entry-level jobs.
The participants get the opportunity to learn from Google employees and get to interact with them and get to know their inspirational journey.
The certification can be completed in less than 6 months, by dedicating as little as 10 hours a week.
After successful completion of the course, the participants become job-ready for the role of a junior or associate data analyst, database administrator, and many more.
Upon completion of the certificate, you can directly apply for jobs with all good companies across the globe.
These programs include instruction of 180+ hours and hundreds of practice-based assessments, which will help you synthesize real-world data analytics scenarios that prove beneficial in critical situations in actual work scenarios.
The content for Data Analytics Courses at Coursera is developed by Google employees with decades of experience in data analytics and hence it is very exclusive and highly interactive.
During the course time, participants are exposed to a wide variety of tutorials, videos, assessments, and hands-on labs that are required for an entry-level job as a data analyst.
The Courses With Their Highlighting Features and Takeaways Are Mentioned Below:
1.Foundations: Data, Data, Everywhere
About the course:
This is one of the Data analytics courses at Coursera and the first course in the series of Google Data Analytics Certificate courses.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
Once the course is completed, the participant will gain an understanding of how junior or associate-level data analysts function in their day-to-day jobs.
The participant will also have complete knowledge of the key analytical skills and tools that help them to upskill themselves and add value to their professional CVs.
The participants will get familiar with a range of terms and concepts, such as data life cycle and data analysis process, that are crucial for a junior data analyst role.
Upon completion, the participant will have exposure to all the jobs available in the market and they can apply wherever they find it suitable.
Skills you will gain:
Spreadsheet
Data cleansing
Data analysis
Data visualisation(dataviz)
SQL
2. Ask Questions to Make Data-driven Decisions
About the course:
This is another course in the series of Data analytics courses at Coursera and the second of the Google Data Analytics Certificate courses.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
During the course timeline, the participants will be exposed to effective questioning techniques that empower them to make data-driven decisions and also train them to present their findings in the most appropriate and professional manner.
The participants get to explore a variety of real-world business scenarios where they can use their understanding of powerful decision-making, realize the importance of spreadsheets as an important tool for data analysts, examine the power of structured thinking and how all this, as a process, helps an analyst towards the proper evaluation of the problem and the needed solution for the same.
The participants are also taught the strategies to manage the expectations of stakeholders and also establish clear communication with their data analytics team, to achieve the objectives they are intended to.
Skills you will gain:
Spreadsheet
Questioning
Decision-making
Problem-solving
Data-Analysis
3. Prepare Data for Exploration
About the course
This is another course in the series of Data analytics courses at Coursera and the third course of Google Data Analytics Certificate courses.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
By the end of the course, the participant gets a sound knowledge of the kind of data necessary or needed for analysis, i.e. understanding of what to keep and what to discard.
The participants get an understanding of the value of structured and unstructured data, data types, and data formats.
The participants learn to use spreadsheets and SQL with databases and data sets for the process of analysis.
The participants gain knowledge of open data and the relationship between and importance of data ethics and data privacy.
The participants learn to access databases and the process of extraction, filtration, and sorting the data they contain. They become well-versed in organizing data and keeping it secure.
Skills you will gain:
Spreadsheet
Metadata
Data collection
Data ethics
SQL
4. Process Data From Dirty to Clean
About the course
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
By the end of this course, the participant will have good knowledge and understanding of checking data for integrity, cleaning techniques using spreadsheets, developing basic SQL queries for use on databases, and application of basic SQL functions for cleaning and transforming data.
The participants gain a thorough understanding of how to verify the results of cleaning data. By now they are well aware of the importance of data-cleaning reports.
Skills you will gain:
Spreadsheet
Data cleansing
SQL
Data Integrity
5. Analyse Data to Answer Questions
About the course
This is another course in the series of data analytics courses at Coursera and the fifth course of Google Data Analytics Certificate courses.
To participate in this program, no prior experience or any kind of expertise is required.
The key takeaways of the course are that the participants learn organizational data for the process of analysis.
The participants learned the importance of formatting and adjusting data and the process involved in doing so.
The participants also learn the aggregation of data in spreadsheets and by using SQL. They become aware of the formulas and functions that can be used in spreadsheets for data calculations and how to complete calculations using SQL queries.
Skills you will gain:
Spreadsheet
Data analysis
SQL
Data calculation
Data aggregation
6. Share Data Through the Art of Visualization
About the course
This is another in the series of Data analytics courses at Coursera and the sixth of Google Data Analytics Certificate courses.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
By the end of this course, the participants learned the importance of data visualization and gained expertise in preparing a worthy narrative from all the data stories extracted from the database provided.
The participants learn to use Tableau to create dashboards and dashboard filters and use Tableau to create effective visualizations.
They learn the importance of good presentations and explore the principles and practices involved with effective presentations. They also learn how to apply best practices to a Q&A with your audience.
Skills you will gain:
Data analysis
Tableau Software
Data visualisation(Dataviz)
Presentation
7.Data Analysis With R Programming
About the course
This is another in the series of Data analytics courses at Coursera and the seventh of Google Data Analytics Certificate courses.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
By the end of this course, the participants are aware of the benefits of using the R programming language.
They become well equipped in using RStudio to apply R to their analysis as they have already explored the fundamental concepts associated with programming in R.
They get to explore the contents and components of R packages including the Tidyverse package.
The participants gain an understanding of data frames and their use in R.
Skills you will gain:
R programming
Data analysis
Data visualisation (dataviz)
R Markdown
R Studio
8.Google Data Analytics Capstone: Complete a Case Study
About the course
This is another in the series of Data analytics courses at Coursera and eighth of Google Data Analytics Certificate courses.
This course offers the opportunity to complete an optional case study that helps the participants become ready for the data analytics job hunt as a case study is one of the parameters used by employers to assess analytical skills.
On successful completion of this certificate program, the participant will become eligible for data analyst jobs at an introductory level.
To participate in this program, no prior experience or any kind of expertise is required.
By the end of this course, the participant will have a clear understanding of the importance of good case studies and portfolios in becoming job-ready and in getting the desired jobs in the market.
Skills you gain
Job Portfolio
Data cleansing
Data Analysis
Data Visualization (Dataviz)
Case study
FAQs
Below are the FAQs about Data Analytics Courses At Coursera.
Difference between data analytics and data science?
In simple language, a data analyst’s job is to explore and evaluate existing data and work on the findings of that data whereas a data scientist’s job is to explore new ways and techniques to capture and analyze data that could be used by a data analyst. One who is interested in starting a career in analytics can choose data analytics over somebody who is keener on creating advanced machine learning models.
Is a certificate from Coursera valid in India?
Certificate from Coursera holds good value across the globe including India as these courses are provided by top-level universities and companies. There are a number of data analytics courses at Coursera that open good job opportunities in India and across the globe.
Is data analysis a good career option?
Yes definitely as in today’s world, the rate of internet usage is increasing day by day and therefore the scope of collecting databases is increasing. The future planning of any business is now dependent on the analysis of the data hence data analytics is a blooming career option for those who are interested in the exploration and evaluation of data.
Conclusion
As already mentioned in this article, data analytics is one of the most in-demand career options across the globe today. Anyone who has a basic education and knowledge of mathematics, statistics, or computer science and who loves to play with data, can make a good career in this field. There are a number of online and offline courses available for the same and Data analytics courses at Coursera are among one of the best and most sought-after certificate courses.
The Indian Investment Banking market share in 2020 was $3.3 trillion with Mumbai commanding a 57.44% market share in the Investment Banking Industry. Investment Banking jobs at present enjoy a cushy no. 3 position in the world’s top 10 highest-paying job titles. With a 57.44% share in the investment banking industry in India, and the hub for corporate headquarters of all big banks, financial companies, and industries, investment banking jobs in Mumbai are the most lucrative options for job seekers. Here is a brief insight into Investment Banking and its scope in Mumbai.
Overview of the History and Investment Banking Industry
Investment Banking in India took root in the 1970s when the State Bank of India first formed the Bureau of Merchant Banking. The first banking body to offer merchant banking services in India was ICICI. By the 1980s there were 30 more banks that had joined the bureau and were offering their services.
After 1500 banks registered for membership in the State Exchange Board of India, the Association of Investment Bankers in India was formed to ensure that India’s legal and ethical practices were followed. As of today, 2023 there are in total 839 Investment Banking firms all across India.
Mumbai alone boasts being home to 366 top investment firms out of this list. To add to the lists of further recognition, out of the top 55 global Investment Firms in India, Mumbai alone is the headquarters of 20 out of this list.
Skills and Qualifications Required for Investment Banking
For securing any Investment Banking Jobs in Mumbai let’s take a first glance at the qualifications that most of investment banking institutions demand:
Bachelor of Commerce (Honours)
Bachelor of Arts in Finance or Economics
Bachelor of Business Administration in Finance
Bachelor of Commerce in Investment Management
Master of Science in Finance
Master in Business Administration in Finance Management
Master in Business Admin in Banking and Finance
Post Graduate Diploma in Investment Banking
Certification Courses in Investment Banking
Chartered Financial Analyst ( CFA)
Chartered Accountant (CA)
An individual can gain all the theoretical and on-paper knowledge about investment banking, but there are certain aspects of the individual personality, that an investment bank/institution looks for over and above a degree while offering Investment Banking Jobs in Mumbai and elsewhere across the globe. These personality hard skills are as follows:
Analytical Skills –
Good research skills
Visualization of Data
Quick critical thinking abilities
Fast-paced and accurate problem-solving acumen
Attention to details
Calculative Skills – Good mathematical skills and abilities to crunch numbers in a fast-paced manner.
IT Skills – Basic computer skills like working with
Powerpoint
Excel
ERQ
SQL
API’s
Personality Skills –
Good orator as communication plays a major role
Efficient and quick problem-solving skills
A good negotiator
Good presentation and persuasion skills
Great at managing people and correspondence
Financial Skills –
Well-versed in Modelling
Sharp data analytical skills
Accounting knowledge, like how to maintain a Balance Sheet and knowledge of Profit and Loss Statement
Asset Management
Project Management
Equity management
In-depth knowledge of the Money Markets
In-depth knowledge of all the regulations, and laws
Before you start applying for any course in Investment Banking or even start applying for any Investment Banking Jobs in Mumbai especially, let’s first take a deeper look at the way the Investment Banking Industry is classified. In a typical Investment Banking Institution the following departments are a standard:
Revenue Generating Departments: This includes all the frontline departments that are actively involved in revenue generation, client interactions, sales, and research. This is divided into two major departments :
Investment Banking Division – This entire department deals specifically with revenue generation for the company or the clients. This is further classified into the following two categories :
Product Specific Category: The employees in this section command expertise in the following products :
Equity Capital Markets
Mergers and Acquisitions
Debt Capital Markets
Restructuring
Leveraged Finance
Industry Specific – The job seeker in this role commands expertise in all the financials of a particular industry, which are as follows :
Healthcare
Technology
Telecom and Media
Consumer Retail
Chemicals
Transportation
Oil & Gas
Power and Utilities
Public Finance
Financial Institutions and Sponsors
Shipping
Infrastructure
Metals and Mining
Real Estate
These are a few examples quoted in this article, although the classification is vast and depends on the interest of the candidate.
Sales and Trading – As the heading states, this department handles buying and selling, stocks, bonds, equities, and options for their clients.
Research – The research teams conduct in-depth research on the financials, potential, and assessment of the risk factors of the companies in question. Based on the reports, data-driven advice is imparted to the customers for buying, selling, or acquisitions.
Risk Management Department – This department has minimal to no client interaction and acts as a support group to the sales department. They include the treasury department, legal counseling department, and counterparty credit departments.
Back Office Support Department – To ensure all rules and regulations are being followed properly by all the departments, Compliance, IT department, and Accounting department act as the support staff.
Classification of Investment Banks and Institutions in India
Investment Banks and Institutions are broadly classified into 4 categories, depending on their client focus, size, area of expertise, and business dealings. Here is a look at the categories and the top institutions in Mumbai specifically :
Tier One Investment Banks – This category includes all the bigger banks and institutions that deal with different corporate finance sectors. They are also known as Bulge Bracket Banks and the following are present in Mumbai –
JP Morgan
Bank of America Securities India Limited
Goldman Sachs
Morgan StanelyCitigroup Global Markets India Pvt. Ltd.
Barclays Risk Solution Group
Credit Suisse
UBS
Deutsche Bank India
HSBC
State Bank of India
Axis Bank
HDFC Bank
ICICI Bank
Central Bank of India
Kotak Mahindra
JM Financial Ltd
IDFC First Bank
Avendus Capital
Edelweiss Financial Services
Tier II Investment Banks and Institutions – The banks and institutions under Tier II are also known as Elite Boutique Banks. They deal in specific corporate finance sectors and handle high net-worth corporates and individuals and it is not necessary they have a very huge global outreach, although their revenue shares the same position as some of the well-known Tier I banks. The following Boutique Banks are headquartered in Mumbai :
Middle Market Investment Banks in Mumbai- The Middle Market Investment Banks and Firms have a plethora of corporate finance product expertise and a global presence, but their business volume is much less than the above two types. They do not deal in very big corporate giants but have numerous mid and small-sized companies under their wings. The following Mid Market Banks are present in Mumbai :
William Blair & Co
Baird
Houlihan Lokey
Stifel
Lincoln International
Harris William & Co.
Raymond James
KPMG Corporate Finance
Brown Gibbons Lang & Co.
Avendus Capital
Axis Capital Ltd.
Edelweiss
Jm Financial Institutions Securities
ICICI Securities Ltd.
IDBI Capital
O3 Capital Global Advisory Services
Veda Corporate Advisors
Spark Capital
Unitus Capital
Types of Investment Banking Jobs in Mumbai
Investment Banking has a plethora of positions one can apply for, depending on the job responsibilities one has an inclination towards and which best suits the qualifications and interest. Here are a few positions that an individual comes across while applying for Investment Banking Jobs in Mumbai :
1. Financial Associates –
This is an entry-level job. The primary responsibility of a Financial Analyst is to be the representative of the institution for the client. He/she has to meet clients and help them in making choices for investing in different financial products, building a portfolio, and investing in different funds. Deposits and loan services have to be their strong points. Communication and presentation should also be strong points for the candidate.
2. Financial Planner –
Another entry-level opportunity in Investment Banking Jobs in Mumbai is the role of a Financial Planner, which is similar to a Financial Associate, except that here he/she plans the financial calendar for a client. The calendar includes planning investments, managing deposits, budgeting, and managing risks by planning intelligently.
They have to carry out the following responsibilities :
They help in the long-term planning of a client in terms of investments, planning, and budgeting.
They help in tax planning, property investments, retirement schemes, and investing in shares.
They impart money management services which help in financial guidance, especially for retired individuals and individuals who have just started working.
They help in setting financial goals for clients.
They help in tax planning, pension fund allocation, mortgages, and any other related financial activities.
They help in assessing and mitigating risks for clients.
3. Financial Advisor –
A Financial Advisor job is a front-line opportunity, that generally freshers get while applying for Investment Banking Jobs in Mumbai. They have the following roles to execute:
Help clients fix their investment goals pertaining to long-term and short-term investments.
Manage a client’s taxes and insurance investments to help in achieving the client’s financial goals.
They help in budgeting, investments, future planning, and savings to be prepared for any calamities or unforeseen circumstances that can take place.
4. Financial Analysts –
This role counts amongst the mid-management opportunities available while applying for Investment Banking Jobs in Mumbai and requires experience and sharp acumen. The following are the key roles they have to play:
They gather Industry, Economic, and Financial fiscal data, evaluate it, and predict the performance of the investments made by the clients.
Based on their research and predictions, they make recommendations for investments and disinvestments in financial products.
They have to predict trends and patterns from the data gathered either for a company or for an individual client.
They are basically classified under two heads, Buy Side Analysts and Sell-Side Analysts. As can be comprehended from the title one analyses which stock, bonds, or equities to buy and another which products to sell.
5. Equity Analysts –
An Equity Analyst is a mid-level job opportunity. One can also start in an organization as a Research Analyst which is the position offered to freshers while applying for Analyst Investment Banking Jobs in Mumba The following roles can be expected with the position:
They either specialize in a group of companies or products and do an in-depth study of them.
They conduct research and prepare financial reports of stocks and bonds.
With the help of financial modeling, they prepare reports and predict trends and patterns in the data.
Since they have sharp Statistical and Mathematical acumen they prepare reports to be presented to the clients or the company itself.
They have to directly interact with the firm managers to impart the research data, which is used to help the investors with the decision to either buy or sell the equities.
6. Investment Banking Analysts –
This is an entry-level opportunity for any individual looking to step into the hardcore domain of Investment Banking. The following key responsibilities one has to carry out as an Analyst :
Research the economic trends and forecasts in the financial market.
Analysis of financial data which in turn helps the managers as a support for the generation of capital for the firm.
Assessment of equities and stocks and valuing them.
Conducting research to identify potential areas for investments
Aid in preparing pitchbooks for senior staff for presentation to investors and clients.
In-depth research on all the financial and legal documents related to the firm.
For banking aspirants, this opportunity to apply for Investment Banking Jobs in Mumbai, the growth opportunity in this field is comparatively high.
7. Private Equity Associate –
In this role the candidate has to be exceptionally good in people management skills, communication, and good organization The following key job responsibilities are a must for aspirants applying in this area of Investment Banking Jobs in Mumbai :
A thorough study of the equities and debts market.
Aiding clients in forming and maintaining an investment structure and strategy.
Advising clients about new potential investment opportunities, thereby helping them in decision-making in purchasing the appropriate bonds and stocks.
Maintaining multiple accounts and aiding them with regular analysis and presentation of their financials.
Dealing with High Networth Individuals and clients, and established firms.
8. Mergers and Acquisitions Specialist –
In the present business scenario, a major number of companies are looking to expand by taking over medium and small-sized companies not only in India but also globally. For this position, the candidate has to be exceptionally excellent not only in business negotiations but also an expert in accounts and company laws. The following responsibilities are attached to this role :
Market research of potential companies for acquisitions, which includes their present and past financial data.
Risk assessments and potential pitfall assessment in the merger deal.
Structuring the deal for acquisitions which includes company financial liabilities, debts, assets, workforce decisions, and the entire legal documentation.
9. Underwriting –
This is one of the most important positions in Investment Banks and is highly sought after amongst all of the Investment Banking Jobs in Mumbai. Since the position plays a critical role in the company, he is a look at the job responsibilities:
Conduct thorough research of the financial scenario, and the company’s financial status, before planning to launch the Initial Public Offerings of the company in the market.
Evaluate and asses the client’s needs and accordingly price the IPOs.
Be responsible for all the legal documentation of the IPO.
Determine the client’s market needs and accordingly allocate the Company IPO’s
Assist Government, Corporations, and institutions in raising capital.
10. Venture Capitalist –
This role is most in demand and is amongst the top-paid jobs in overall Investment Banking Jobs in Mumbai. There are mainly 3 different roles under the guise of Venture Capitalist, namely Venture Capital Associate, Venture Capital Analyst, and Venture Capital Accountant and Auditor. The following are the job responsibility that has to be formed in this role:
Market research to identify potential opportunities for investment and acquisitions.
In-depth research of the financial condition of the target companies.
Building a portfolio of the company for the employer company or the investor company.
Negotiating terms for acquisitions and handling the legal and document part of the acquisition.
FAQs: Investment Banking Jobs in Mumbai
What is the average salary expected for freshers in Investment Banking and what is the highest salary received?
The average salary for a graduate stepping into the Investment Banking sector starts from rs.2.46lacs/annum. A postgraduate student from a recognized business school can be offered a salary package ranging between Rs.4lacs/annum to Rs. 12 lacs/annum as per Glassdoor. But the salary package changes as per the location also. The Salary package in Tier II cities is definitely lesser as compared to Tier I cities. Also, skills acquired by the student play a major role in salary negotiation. Depending upon experience and track record, the highest salary package can go beyond Rs.85 lacs/annum in India.
What are the advantages and disadvantages of working with Tier I or Bulge Bracket Investment Banks?
For a fresher, getting selected for any Investment Banking Jobs in Mumbai in Bulge Bracket Investment Banks is easy, as there are ample job opportunities available. Being associated with a big brand name allows for working with globally recognized deals, a stronger alumni network, and better financial emoluments.
On the other hand, the disadvantage of working with Big Investment Banks is that client interaction is quite limited for freshers. The competition for growth is intense as the number of people vying for higher positions is higher. A fresher has to work very hard and for long hours to stand out and be recognized.
Should a fresher start their career with a Mid Market Bank?
For students looking to start at a smaller level and understand the processes and market better, a Middle-Level Bank is an excellent choice. The clients are more local and client interaction is more compared to a Bulge Bracket Bank. The opportunity to understand the processes at a slower pace and the option of handling smaller deals is a big advantage here. The scope of error and rectification is higher and since the staff size is smaller, the opportunity to work with the senior more experienced staff is very high as compared to other banks. The pay package is not very high but learning opportunities are very high.
For a long-term career in Investment Banking should I choose a Bulge Bracket Bank or a Boutique Bank?
Boutique Banks are known to deal with HNI customers and deals that are of high value. There may not be as many deals in numbers as compared to a Bulge Bank, but a smaller task force means, clients are dealt with by all the required employees. There are ample opportunities to get practical experience of the technicalities involved in closing deals, real-time customer experience, and a better network.
Conclusion
In today’s fast-paced scenario, customers are inundated with the decision to make intelligent investments to not only pave the way for a secure retired life but also for their families. With the plethora of options available one has to either, constantly be aware of the financial markets or depend upon external help which not only keeps a constant eye on the financial markets but also takes data-derived right decisions for them. The same scenario resounds in the business world. Companies are not only limited to the land of origin but have started spreading their reach globally.
To aid this development there is a constant need for research, risk analysis, and data-backed decision-making. Here, are steps for investment bankers to make this process smoother and faster for the clients. Investment Banking is a sector that has seen slow but steady growth. It is a challenging and demanding profession but also the end goals are highly lucrative not only in terms of monetary benefits but also local and global recognition. Thus, if you have a keen eye for analytics, deal with numbers, enjoy researching, and have excellent interpersonal skills, this is the right profession for you to step into. Here we conclude the details about investment banking jobs in Mumbai.
Money matters to those who deal with monetary matters (financial factors). For investors money is not just cash or the bank account balance that they look out for, they like to explore new zones giving them higher returns, and for that investors need advisors. In the last decade investment banking transactions have increased significantly. In this article, we will give an overview of this career option that can awaken your interest in the investment banking sector. Statistics on Investment Banking Fresher Jobs will evoke your thoughts to grab the opportunity in this lucrative field.
Investment Banking is a service industry in the finance sector, working as a financial advisor, endorsing securities transactions, and facilitating mergers and acquisitions. Such banks generally work with corporations, governments, and other institutions to help them increase investment by issuing and selling securities, such as stocks and bonds, and providing advisory services on mergers, acquisitions, and other strategic transactions.
Commercial Banking vs Investment Banking –
Commercial Banks cater to the public in general, whereas Investment Banks cater to Investors, corporations, and government. Commercial Banks deal in services like deposits, mortgages, and lending loans while Investment Banking deals with services like asset management, raising capital, brokerage services, underwriting of securities, advisory services, mergers, and acquisitions.
Commercial Banks earn profit from the difference between the lending and the deposit interest rates and Investment Banking earns from the charges they levy on the different services they offer. The risk involved in commercial banks is comparatively lower than in investment banks.
There are three types of investment banks based on their size – Bracket banks, Middle market banks, and Boutique banks.
Investment Banking Can Be Divided Mainly Into Four Areas –
Corporate finance: It involves helping customers raise investment by underwriting and issuing securities. In this case, the investment banker purchases the securities from the issuer and sells them to the investors
Sales and Trading: It involves buying and selling securities on customers’ behalf, and providing risk-management services. In this case, customers include corporations, institutional investors, hedge funds, and high-net-worth individuals (HNI’s)
Equity Research: It involves the analysis of stocks to make informed investment decisions in equity. To conclude this analysis, the research includes the study of industry trends and patterns, market forecasts, etc.
Asset Management: It includes the process of maintenance, upgradation, or disposal, of assets in a cost-effective manner. This also includes managing the investment portfolios of the customers
Merger & Acquisitions: It involves providing advisory services for mergers, acquisitions, or even divestments. In this case, the investment banker helps customers evaluate probable acquirers and negotiate and structure the terms and conditions of the transaction.
Investment banks play a pivotal role in the evolvement of financial markets by providing liquidity, creating financial products, etc. They deal with securities, equities, bonds, and derivatives. They offer research and analysis on industries to help investors make informed decisions.
Organizational Structure of Investment Banks –
The organizational structure of investment banks differs depending on the size, geographical location, etc of the investment bank. The organizational structure of an investment bank is usually classified into three main categories i.e. front, middle, and back office.
Front Office: It comprises departments like sales trading, and research. This category is responsible for providing insights and analysis on financial markets, advisory services on mergers and acquisitions, IPOs, and other commercial activities, and buying and selling securities on behalf of customers.
Middle Office: This category supports the front office and includes departments like risk management, compliance, and technology. The role of this category is risk mitigation by identifying risks associated with day-to-day activities, ensuring operational compliance with regulatory requirements, and providing requisite technological infrastructure to support the bank’s activities.
Back Office: This division is responsible for the operational and administrative functions of the bank and includes departments like finance, human resources, etc. This division is responsible for handling the bank’s securities inventory, financial and accounting reporting, and recruitment, training, and management of the employees.
Additionally, private wealth management or asset management divisions are also part of some investment banks that provide investment guidance and services to HNIs (high-net-worth individuals) and manage portfolios of institutional investors.
Roles and Responsibilities of Investment Bankers –
Financial Analysis: Examination is done using financial modeling techniques to assess the possible viability and perils connected with a project or investment.
Business Development: Investment bankers are responsible for creating new business prospects by using the network.
Deal Execution: Investment bankers are responsible for executing deals related to mergers, acquisitions, underwriting, and fundraising. This involves working with attorneys, accountants, etc to ensure the successful completion of the deal.
Client Relationship Management: Building and maintaining relationships with the customer is one of the key responsibilities of Investment bankers. Another responsibility is to provide constant support and assistance to the customers and ensure satisfactory services.
Qualifications –
Simple steps to follow for a career in Investment Banking:
Complete 10+2 or HSC with more than 50 percent aggregate from a recognized university
Get a bachelor’s degree
For more weight earn a master’s degree
Attain relevant certification
Pursue internship
Find a job
MBA (Finance) vs CFA vs CA for Investment Banking Fresher Jobs –
Some companies prefer MBA (Masters in Business Administration) candidates, especially for more senior positions. Internships with investment banks, asset management firms, or other financial institutions are appreciated as they provide practical experience. Professional certifications like the Chartered Financial Analyst (CFA), Financial Risk Manager (FRM), and Certified Investment Management Analyst (CIMA) designations are an added advantage.
The postgraduate program by the National Stock Exchange (NSE) in investment banking is for Investment Banking Fresher Jobs, the course includes the study of capital markets, banks and financial planning, business analytics, and management accounting is good to have. It takes six to nine months to complete the course and to be eligible for further steps toward a dream job.
A Chartered Financial Analyst (CFA) professional qualification helps candidates pace up their career as an Investment Banker as the course is planned with a focus on investment and wealth management. The subjects offered for study include Economics, corporate finance, derivatives, equity investments, financial reporting, and analysis.
This is a postgraduate program, and the course duration is based on the candidate’s performance. It is a minimum of 1 year and goes up to a maximum of 4 years. Chartered Accountant (CA) is the toughest course. Its main focus is on accounting, taxation, auditing, etc.
Therefore, to become an investment banker, candidates having a degree in MBA (Finance) or CFA are preferred over CA’s.
Types of Investment Bankers –
A Financial Planner helps individuals and corporations plan for their long-term financial goals after considering budget, risk tolerance, age, and financial and professional status. A financial planner then advises on retirement, tax, insurance planning, etc.
The Credit Manager has to analyze and evaluate the creditworthiness of customers, to avoid bad debts.
Certified Management Accountant is knowledgeable in the areas of financial planning, and analysis. They work for varied organizations, NGOs, academic institutions, governments, and MNCs alike.
The accountant ensures the company’s expenses are in control.
Financial Advisor creates a plan and helps reduce expenditures, pay off their liability, and save and invest.
Account Manager maintains relationships with clients.
Intern: Though the freshers work on short-term projects as interns they gain a lot of exposure to the investment banking industry through this opportunity.
Analyst: Fresh graduate hired by investment banks. Their job is to research and analyze the companies and industries, create financial models, prepare reports, and presentations, and provide support in the working of the bank.
Associate: Generally, laterals i.e., experienced candidates are hired in this category. They are responsible for handling projects and coordinating with associates from different departments and/or external parties. They are also responsible for overseeing the work of the analysts.
The Roles and Responsibilities for Investment Banking Fresher Jobs Are –
Review and analyze reports
They perform daily financial calculations and estimate the performance
Create presentations and proposals
Issue securities, bonds
Guide on IPO and issue of securities
Analyse and assist in mergers and acquisitions
Ensure compliance and adherence to the governing body
Guide the financial portfolio
Undertake dealings in equities, and bonds, for institutional investors
Investment Banking Fresher Jobs, Tips for Aspirants –
Networking: Building a strong network is essential in the investment banking industry including alumni, instructors, and professionals in the industry. Aspirants should attend career fairs, and events, watch informational interviews, and meet people in the industry.
Experience: Recruiters prefer candidates who try to gain relevant experience in accounting, finance, or business through internships.
Degree: Candidates having a degree in finance, or economics, will be favored by the recruiters in comparison to others.
Resume: It should highlight relevant experience, skills, and accomplishments. One can even make a tailor-made resume for the specific job position.
Sharp Interview Skills: Aspirants appearing for an Investment Banking interview need to have excellent skills. For that, practicing behavioral and technical questions is also a part of getting ready for the interview. Preparation for the interview also includes researching the company and its products or services.
Apply for positions: Keep a tab on entry-level open positions by Investment Banking Freshers Jobs, including analyst, associate, and junior positions. Investment banks prefer applicants with strong academics, excellent communication skills, and a flexible approach.
Looking for financial modeling courses? Here are the best ones for you:
Skills Essential for Fresher Jobs in Investment Banking –
Academically strong: Candidates having a degree in finance, accounting, economics, or business administration with a good percentile are preferred.
Analytical skills: Candidates having strong mathematical skills are required for quantitative analysis and are preferred by recruiters. They should be able to study data and perform intricate estimation analyses.
Communication skills: Strong written and verbal skills are quintessential for Investment bankers as otherwise collaborating with clients and colleagues in clear, concise, simple language that is understandable to the common man will become very difficult.
Attention to detail: The job of investment bankers involves dealing with complex financial transactions. Candidates should have scrupulous attention to detail as even trivial errors can have a significant impact.
Teamwork: Working in collaboration with colleagues and clients is essential as they have to successfully close complex deals together.
Problem-solving skills: The thinking ability should support the nature of the work i.e., solving complex financial problems with critical thinking in a structured and logical manner.
Hard work: It is a demanding industry that requires dedication and long hours of hard work
Time management skills: Investment bankers need to be multitaskers to become successful in their careers and thus require time management skills to achieve them.
Commercial awareness: Identifying opportunities and risks for the clients is easier when the candidate is aware of current market trends and economic conditions;
Excel skills: Investment bankers should be well-versed in Excel to be able to analyze any financial data and build financial models.
Like any career, there are both pros and cons to pursuing a career in investment banking. Some of them are listed below:
Pros –
Professional development: The opportunities available in Investment Banking can lead to rapid professional development. The chance to work on distinguished deals leads to exposure and gain the confidence of senior executives.
High income: Investment banking is synonymous with high salaries and bonuses. This can significantly increase as the candidate progresses in their career.
Reusable Skills: The analytical skills attained in Investment Banking Fresher Jobs can be treasured and reprocessed in different industries.
Dynamic and Rewarding work: Investment banking is stimulating and budding which can be exciting and rewarding.
Cons –
High stress: Workload and the pressure to achieve can lead to high levels of stress. This is applicable, particularly to over-ambitious people.
Work-life balance: This is an evolving field and can demand working for long hours which makes it difficult to maintain a work-life balance.
Stagnation: The services offered by Investment Bankers are limited hence having variation in the work can be difficult.
Competition: Growth in this field can become sluggish after a point due to its highly competitive nature.
Job Description for Investment Banking Fresher Jobs –
The below job description is to give a fair idea while preparing for the interview. The candidate can also make changes to the resume, and cover letter accordingly.
Issue debts and sell equities to raise capital
Research on investment opportunities
Assess valuations for customers and higher management
Provide expertise in mergers and acquisitions
Assist in IPOs.
Support in investment and financial planning decisions
Create presentations for customer portfolios
Assist in preparing quarterly reports
Manage client interaction, from the sales pitch to the investment bond
Conduct research and develop industrial relationships
Investment Banker Qualifications/Skills –
Strong communication, time management, and networking
The capability of working in a fast-paced setting
Knowledge of regulations
Team oriented
Education and Experience:
Bachelorette degree in business, finance, economics, or in a similar field
CFA is a plus
Employment Process –
Common steps in the employment process followed for Investment Banking Fresher Jobs:
Apply online: Candidates need to apply online. They must also attach their resume, cover letter, mark sheets, certificates, and the online application.
Test: Investment banks can arrange for aptitude tests which include assessments based on numerical, verbal, and logical reasoning.
Assessment: Candidates are required to attend and clear group discussions based on case studies at the designated assessment center.
Interview: Candidates clearing the test and assessment are invited for an interview round with an HR representative.
Final interview: Candidates are then invited to a final round of interviews with senior management.
The candidates should be prepared with information about the organization, its business goals, leadership, vision, etc, they are going for the interview. It is also important to research the existing and probable competitors. Below listed are some interview questions that can be asked in Investment Banking Fresher Jobs and the probable answers which the candidate can elaborate further –
Why investment banking, what interests you in this field?
Answer: Finance helps in shaping the economy. Investment banking raises capital by making strategic business decisions. Opportunity to work and learn from talented professionals and contribute to the success of the firm.
Why do you think, makes you suitable for this job profile?
Answer: Strong analytical skills and a good understanding of finance and mathematics. Fair experience gained from internships and efficient communication skills.
How do you keep yourself conversant with current developments in this field?
Answer: Regular subscription to read financial news publications, such as the Wall Street Journal, The Economist, Money, or Forbes helps to stay updated on current industry developments. Attending events and conferences. Follow mentors and experts in the field on social media.
How is the financial statement analysis conducted?
Answer: Analysis of income statement, balance sheet, and cash flow statement to assess organizations’ economic health. Evaluate financial ratios, for comparative study with competitors. Make recommendations.
What do you think are the challenges faced by the investment banking sector?
Answer: Challenges in the Investment Banking sector can be described as the three C’s – Competition, Compliance, and Changes in the Economy. Competition is the biggest challenge, followed by adherence to compliance, and the impact of changes in the economy on growth. However, these challenges can also work as a push for innovative ideas.
Why do you wish to work in the investment banking sector?
Answer: It’s a highly in-demand and ever-evolving sector.
Which important qualities make up for a successful career in investment banking?
Answer: Analytical, Time Management, Communication skills, and teamwork are a few of the important qualities required for Investment Banking Fresher Jobs.
Top Recruiters For Investment Banking Fresher Jobs –
Goldman Sachs: It is one of the chief investment banks in the world. They recruit the topmost talent. They recruit freshers based on academics and performance in the internship.
JPMorgan Chase: It is one of the largest investment banks in the world and has a strong standing as they recruit trainees, freshers, etc.
Morgan Stanley: It is an international investment bank that is known for recruiting freshers for several roles.
Citi: This investment bank is known for its proficiency in mergers and acquisitions, equity, debt markets, and other financial services. With its strong presence across, it is known for recruiting freshers.
Bank of America Merrill Lynch: One more global investment bank providing a variety of financial services and is also known for recruiting freshers.
Credit Suisse: It is known for providing services in wealth management, investment banking, other financial services, and opportunities for freshers.
Deutsche Bank: It provides extensive financial, hedge funds, venture capital, and asset management services to clients around the world and also recruits freshers for various roles in investment banking.
UBS: Based in Switzerland and is known for services in wealth management, investment banking, other financial services, and opportunities for freshers.
Barclays: It provides a range of financial services and is also known for generating opportunities for freshers for various roles in investment banking.
HSBC: HSBC is a global bank that provides a range of financial services, including investment banking, and also recruits freshers.
FAQs About Investment Banking Fresher Jobs
Which is the best Investment Bank in the world?
Goldman Sachs is 150 years old and the most prestigious investment bank in the world.
Which country is the best for Investment Banking?
The United States of America is the best for Investment Banking and New York is the global financial hub.
What are the 3 functions of investment banks?
The roles of investment banks include endorsing IPO (Initial Public Offering) or new issues, supervising mergers and acquisitions, and acting as financial advisors.
What are the 4 divisions of investment banking?
An investment bank’s front office comprises mainly 4 divisions including Investment Banking or Corporate Finance, Sales and Trading, Equity Research, and Asset Management.
What is the salary range in investment banking?
Investment Banking Fresher Jobs Salary in India starts from ₹ 2.5 Lakhs and goes up to ₹ 30 Lakhs as per experience with an average annual salary of ₹ 5.0 Lakhs.
Conclusion –
Do you want to help beat inflation and assist in comprehending the options available to do so, with the help of your knowledge and skills? Applying to Investment Banking Fresher Jobs and making a career in it can be rewarding and challenging then. By building skills, and networks to get into internships and gain experience, the chance of getting selected for the dream job increases manifold. Finance and business graduates, the most coveted career in Investment Banking await you!
The need for data analysis is expanding quickly, which has led to an online course oversupply. A lot of course offerings fail of giving a comprehensive learning experience that covers the complete analytics pathway. When there are so many institutions providing analytics courses, it can be difficult to choose the best one for you. In this article, we have searched through top online course catalogs to identify the best data analytics courses. Since an analyst’s job requires a variety of talents, IIM SKILLS and Imarticus are the top providers that cover every aspect of the data analyst industry. Hopefully, this categorization of the IIM SKILLS vs. Imarticus Data Analytics Course will make it easier for you to select your ideal course.
What is Data Analytics?
The majority of businesses constantly gather massive amounts of data, but this data doesn’t mean anything in its raw form.
Data analytics can be useful in this situation.
Data analytics is the practice of analyzing unstructured data to gain insightful, useful knowledge that can be used to inform and inspire wise business decisions.
In order to turn absurd numbers into cohesive, understandable information, a data analyst will then share their results with the company in the form of ideas and recommendations for the Data analytics can be useful in this situation.next step of action.
Think of data analytics as a sort of business intelligence that is applied to specific organizational problems and challenges.
Making decisions and developing strategies based on the facts rather than assuming what the data will show you allows you to make sense of the past and forecast future trends and behaviors.
Students can take data analytics courses online or offline to learn the fundamental skills required to gather, arrange, analyze, and present data.
Each data analytics course you take will have a set of learning objectives that the provider want their students to accomplish by the time they finish.
This may only be a basic knowledge of data analysis principles for some initial courses, while more advanced courses with career assurance will have a specific list of skills and tasks that the industry requires.
Data Analytics courses also cover the fundamentals of programming in languages like R, Python, and SQL as well as tools like Microsoft Excel and Tableau.
Depending on the sort of course provider and the course you select, the content you study will be designed around these learning outcomes and delivered in a variety of ways.
While data analytics courses can help on your learning path and give you basic knowledge in a variety of areas, it’s important to keep in mind that additional study and experience are always advantageous in the job market.
You can make a strong impression on potential employers by utilizing the skills you learn throughout your training to create a portfolio of data analytics projects or find open-source projects you can contribute that will help you stand out.
A high-quality data analytics certification will ideally enhance your skill set for the data analysis industry.
Hard Skills:
Machine Learning Algorithms and Models
Statistical Analysis
Data Engineering
Predictive Modeling
Regression Analysis
Building Data Sets
Data Optimization
Programming Languages, Such as Python and R
Data Visualization Tools, such as Tableau
Querying Languages, Such as SQL
Microsoft Excel or Google Sheets
Soft Skills:
Decision Making
Problem Solving
Creative Thinking
Analytical Mindset
Attention to Detail
Time Management
Verbal and Written Communication
Organizational and Presenting Skills
However, it might be challenging to know where to start exploring with so many data analytics courses, specializations, and certifications available in the world.
These two institutes provide basic to advanced-level data analytics course that gives comprehensive learning and will help you get real-world experience in the data analysis industry.
We will see the in-detail comparison between IIM SKILLS vs. Imarticus Data Analytics Course.
IIM SKILLS
About:
IIM SKILLS is the fastest-growing ed-tech company in the world.
IIM SKILLS has a presence in 23 Asian cities with its headquarters in New Delhi.
It is the most reputable provider of online training and certification in Asia, helping students transform their careers and become job-ready.
IIM SKILLS was established in 2015 to serve all internet marketing activities and courses in the quickly expanding digital marketplace of today.
It offers rigorous practical and theoretical training such as short-term, master, and online courses to up-skill learners and enhances their professions through industry-related courses created by experts.
With the mission of offering self-paced and live online programs that are world-class education at affordable prices.
Overview of Data Analytics Course at IIM SKILLS:
IIM SKILLS’ six-month live Data Analyst Course included more than 160 hours of lectures and 100+ hours of practical assignments with hands-on tool-based training. Their comprehensive training includes 7+ live projects, 10+ case studies, and 7+ tools that will help you get ready for the data analyst industry. Students will also get lifetime access to training materials, class recordings, and presentations.
Module Name
Important Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample
IIM SKILLS Data Analyst Masters Course offers an optional two-month non-paid internship. To qualify for this opportunity, students are required to pass an examination with a minimum of 50%.
An internship certificate will be provided upon completion. Students will also receive career assistance regarding resume building, interview prep, and 100% placement support.
Imarticus Learning
About:
Imarticus Learning has established itself as a leading professional online educational organization focused on developing the workforce of the future.
Imartiucs Learning was established in 2012, and till now it has been successful in providing high-quality education by developing challenging programs that are immersive and progressive with top colleges like IIMs and IITs.
By organizing knowledge and making learning accessible through modern technology, Imarticus Learning’s comprehensive courses and programs aim to prepare the global learning community for a futuristic, tech-driven society.
With the mission of delivering purposeful learning experiences in order to develop the leaders of tomorrow.
Overview of Data Analytics Course at Imarticus Learning:
Imarticus Learning offers a six-month distinctive teaching approach in their Post Graduate Program in Data Science and Analytics that includes 300+ learning hours with industry-focused 25+ projects and 10+ tools. Their course provides guest lectures, capstone projects, peer-to-peer discussions, industry-focused seminars, soft skill training, and many more services to assist students to create successful professional routes.
Their curriculum also includes specialization. To help students enhance their portfolios and prepare them for job interviews based on industry-specific requirements they provide career mentoring.
Let’s begin the comparison,
IIM SKILLS vs. Imarticus Data Analytics Course: Pre requisite
IIM SKILLS
Imarticus Learning
A bachelor’s degree in any field.
Basic expertise in computers and technology.
It may be advantageous to have a prior experience in statistics and mathematics but it is not required.
Admission test
Basic understanding of mathematics and programming
Recent graduate or postgraduate in
Engineer,
MBA in Finance,
Computer Science
IT
With a minimum of 50%.
IIM SKILLS vs. Imarticus Data Analytics Course: Fees of the Program
IIM SKILLS
Imarticus Learning
Rs.49,900 + Taxes
Rs.2,25,000
Rs.19,900 + Taxes
You can also choose a single module as per your requirement.
Imarticus gives students flexible payment options with EMI.
Registration fees include Rs.20, 000 then students can have three installments until they finish the course.
IIM SKILLS gives a 100% money-back guarantee if you don’t like the first session of their course.
The price also includes exam and certification fees.
It also offers a special 10% group discount on more than 3 registration.
IIM SKILLS vs. Imarticus Data Analytics Course: Mode of Learning
IIM SKILLS
Imarticus Learning
It provides 100% live instructor-led online training.
It provides both live online as well as classroom training.
IIM SKILLS vs. Imarticus Data Analytics Course: Duration of the Course
IIM SKILLS
Imarticus Learning
6 Months
6 Months
The course includes 160 hours of weekend lectures, which can be completed in six months.
However schedules are completely flexible, so even full-time workers could also take this course.
It is a full-time weekday program with 300+ learning hours, which is flexible for every student and professional. You will participate in live sessions every week from Monday to Friday.
IIM SKILLS vs. Imarticus Data Analytics Course: Syllabus
Data analytics is a broad field with several divisions and levels, both of these institute provides in-depth curriculum but it’s wise to carefully review the syllabus of a course before enrolling for it to make sure it includes the subjects you’re most interested in.
Core Modules
IIM SKILLS
Data Analytics Using Advanced Excel
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
Data Analytics Using VBA
Introduction to VBA
Key Components of Programming Language
How VBA Works With Excel
Programming Constructs in VBA
Functions and Procedures in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating With Your Users
Others
Data Analytics Using SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration Services
Other
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keeps and Remove Rows, Add Remove and Go to Columns
Data Analysis Expression (DAX)
Reports Development (Visuals in Power BI)
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics and Data Science
Python Essentials
Operations with Numerical Python (NumPy)
Overview of Pandas
Cleansing Data with Python
Data Analytics Using Python-II
Data Analytics Using Python
Basic Visualization Tools
Visualizing Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries-1
Data Handling and Summaries-2
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
R For Data Science
Data Importing and Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing
Data Analytics Using Alteryx
Data Analytics Using Alteryx
About:
You will learn the most in-demand data science tools and technologies as well as the curriculum covers fundamental data science and analytics concepts with specializations to prepare yourself job-ready.
Module
Imarticus Learning
Foundation
Introduction to Programming
Variables and Arithmetic Expressions
Functions
Data Types
Conditions and Conditional Statements
Lists OOPS
Core Track
Excel
Basics to MS Excel
Reporting using Excel
SQL
Basic of SQL
Advanced SQL- Part 1
Advanced SQL- Part 2
Python Programming
Introduction to Python
Python Objects + List Comprehension
User-defined and Lambda Functions
NumPy
Pandas
Data Frame Manipulation
Visualization Part-1
Visualization Part-2
EDS
Statistics for Data Science
Introduction to Statistics
Probability Theory
Probability Distributions
Hypothesis Testing
Statistical Tests
Machine Learning
Introduction to Machine Learning
Linear Regression using OLS
Project on Linear Regression
Logistic Regression
Model Tuning Techniques
Project on Logistic Regression
Decision Trees
Project on Decision Trees
Random Forest
Project of Random Forest
K-means Clustering
Project on K-means Clustering
Hierarchical Clustering
Project on Hierarchical Clustering
Principal Components Analysis
Project on PCA
Time Series Modelling
Project on Forecasting
Cloud Basics
ML on Cloud
Deployment on Cloud
Data Visualization with Tableau and Power BI
Tableau Part-1
Tableau Part-2
Project- Mortgage Analysis
Power BI
Project- Stock Data Analysis
Exam- Tableau and Power BI
Capstone Project Allocation- Based on ML
Specialization Track
Advanced ML Track
Ensemble Modelling Techniques
Analytics in Healthcare/Finance
Association Rule Mining
Analytics in Retail
Analytics in E-Commerce
Analytics in Marketing/Sales
Introduction to Deep Learning and AI
Introduction to Computer Vision
Introduction to NPL and Text Analytics
Data Analytics and ML Track
Ensemble Modelling Techniques
K Nearest Neighbors
Analytics in Healthcare/Finance
Analytics in Marketing/Sales
SQL + Visualization Project
Excel + Visualization Project
Linux Commands
Hadoop Framework
Introduction to Big Data
Hive
Spark
Machine Learning with Spark
IIM SKILLS vs. Imarticus Data Analytics Course: Tools and Technologies Covered
The quality of the courses can vary considerably the hands-on project they offer and the analytics tools and technology they use.
IIM SKILLS
Imarticus Learning
Excel
Excel
Power BI
Power BI
Python
Python
SQL
SQL
Tableau
Tableau
R for Data Science
Hadoop
Alteryx
Apache Spark
Scikit Learn
IIM SKILLS vs. Imarticus Data Analytics Course: Best for
IIM SKILLS
Imarticus Learning
The best candidates for the Data Analytics course are aspiring professionals with an analytical approach from various educational backgrounds.
It will be appropriate for you if you are:
Recent Graduates
UG/PG Students
Banking and Financial Experts
Marketing Managers
Sales Experts
Supply Chain Network Managers
The best candidate for this data science and analytics program is for recent graduates in the relatable field and
Working professionals with 0-3 years of experience including IT professionals, networking professionals, testers, and system administrators can also opt for this course.
IIM SKILLS vs. Imarticus Data Analytics Course: Program Offerings
IIM SKILLS
Imarticus Learning
Live Online Training
Yes
Yes
In Classroom Training
No
Yes
Doubt Session
Yes
yes
Discussions with Peer Learners
Yes
Yes
Hands-On Exercise
Yes
Yes
Assignments
Yes
Yes
Quizzes
Yes
Yes
Exam
Yes
Yes
Lifetime Access to the Live or Recorded Sessions and Materials
Yes
No
Project Base Learning
Yes
Yes
24×7 Support
Yes
Yes
Real World Projects
Yes
Yes
Internship
Yes
No
Resume Building
Yes
Yes
1:1 Career Mentoring
Yes
Yes
Interview Preparation
Yes
Yes
100% Placement Assistance
Yes
Yes
IIM SKILLS vs. Imarticus Data Analytics Course: Certification
IIM SKILLS
Imarticus Learning
When you complete the course and exam, you are awarded the certified data analyst master course with globally recognized certification.
The certification is also government-recognized and will indicate your skills development and help you improve your position in the data analytics industry.
They provide a soft copy of the certification via email within 15 days of your examination.
You will receive a certification in a post-graduate program in data science and analytics after completing this course of study.
Your professional credentials will gain a lot from this industry-recognized certification.
Why IIM SKILLS?
IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skill development at affordable prices.
Since 2015, more than 35000+ people have founded IIM SKILLS to be an ideal place to launch, restart or enhance their careers.
An increasing number of skill-oriented professions are being created as the world of opportunities expands immensely. IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field to bring you into the limelight with these completely novel and advanced skills.
The level of professionalism taught by IIM SKILLS is the same as in their excellent Data Analytics Masters Course.
The course’s modern curriculum, student-focused teaching, superior mentors, and continuous support allow you to get the most out of it. The specialist at IIM SKILLS has created a complete Data analytics course that is specific to the preference and thinking styles of those holding entry-level, middle-level, and senior level jobs in the industry. This course is a superb fit for anyone considering a career in the field of data analytics even without any prior knowledge.
IIM SKILLS will enhance your position in the Data Analytics industry and it will make companies take notice of your CV and domain knowledge.
Online training is their area of expertise at Imarticus Learning. To ensure that you may learn at your own pace with the assistance of their knowledgeable trainers, they are regularly updating their program to reflect the newest trends and technologies.
Imarticus Learning has influenced more than 10,00,000 careers over the past ten years thanks to its innovative curriculums, highly qualified trainers, and more than 500 global connections with top organizations and businesses.
In order to meet the expectations of diverse industries’ current and future job markets, Imarticus Learning works to up skill current and future employees.
You will prepare to work as a data science professional in a developing field of data science and analytics and will obtain practical learning about the application of data science and analytics in real-world enterprises.
IIM SKILLS vs. Imarticus Data Analytics Course: FAQs
Q. Is it worth getting a data analytics certificate?
You can succeed in the field of data analytics by earning one or more data analytics certifications. Certifications do more than only assist you in enhancing your skills. Additionally, they demonstrate your abilities to potential employers. It makes you a better candidate in almost any industry you want to work in and increases your salary in the position you want.
Q. Can data analysts work from home?
In many cases, work-from-home positions for data analysts are common. However, the majority of jobs require a laptop or desktop computer, access to superior visualization and analysis tools and certification in one or more fields related to data analysis. Although there is full-time employment available, many careers for data analysts start as contract or freelance work, which usually offers the employee the option of working from home or in a workplace.
Q. What matters more when applying for a data analytics job: Experience or Course certification?
An excellent method to impress hiring managers is to have relevant experience, yet gaining experience typically happens after receiving a degree.
Both IIM SKILLS and Imarticus Learning Institute will help you enhance your skills with analytics tools if you want to contribute to an open-source project. IIM SKILL also provides a two-month internship that will add experience to your resume.
Q. Will I get a job after completion of the data analytics course?
Yes, both of the institutes provides career services such as resume building, interview preparation, and placement assistance.
IIM SKILLS vs. Imarticus Data Analytics Course: Conclusion
Data Analysis is a rapidly growing field with numerous job opportunities in various industries. Both of the data analytics courses from IIM SKILLs and Imarticus Learning offer the best way to prove to yourself that you completed the course with solidified knowledge and all the necessary skills and technologies essentials to become a successful data analyst. We hope this comparison of IIM SKILLS vs. Imarticus Data Analytics Course help you get the better understanding of courses and institutions.
Whichever data analytics course you choose, we wish you the best for your data analytics career.
Post-liberalization increased economic activity has caused banking in general and investment banking in particular, to emerge as a lucrative career option. Especially in the last decade, wherein, India is one of the fastest-growing economies, an increase in demand has also led to opening entry-level opportunities for non-MBA/CA candidates in this domain. This has resulted in the growth of institutes offering short-term certificate financial courses in their curriculum. Imarticus investment banking course review is an attempt to equip students considering taking up this course to make an informed choice.
Scope, Structure, and Salary of Investment Bankers in India
As mentioned earlier, the banking sector has emerged as a key employer post-liberalization. It offers freshers employment and growth opportunities on the business’s buy and sell side. There are a variety of roles available in investment banking.
The primary role is advisory in nature, customer-facing, and revenue-generating.
The next role is supportive and involves Risk Management and technology
Backoffice functions complete the structure
Available Entry-level Job Titles:
Financial Analyst or Associate in investment banking, Risk Management Consultant, Money Market Analyst, Global Finance Researcher, Regulatory Reporting Analyst
As you can see, there is plenty of scope to grow vertically and laterally as you continue to gain experience and develop new skills. The salary ranges between Rs. 3 Lakhs to Rs. 8 Lakhs per annum for freshers as quoted by Glassdoor.
To provide context, investment banking is a specialized financial consultancy service provided by banks. An investment banker mostly plays an advisory role, raising capital for corporates and individuals, new issues or IPOs, Mergers, and Acquisitions (M&A), company restructuring to improve efficiency and profits, trading shares and securities, etc. Keeping this in view, it is evident that this role requires a hoard of special skills, including soft skills, to be developed. To list a few:
Basic understanding of
Maths
Economics
Statistics
Finance
Accounting
Research
Analytics
Problem-solving
Technology savvy
Regulatory framework of the industry
Time management
Sales and negotiations
Communication
Relationship building
Networking
Creativity
This by no means is an exhaustive list, however, provides us with basic parameters for an Imarticus investment banking course review. Do students leave Imarticus equipped with these basic skills? Let us dive straight in to find out.
Overview of Imarticus as an Educational Institute
Imarticus Learning is an award-winning ed-tech company headquartered in Mumbai, Maharashtra, that offers a variety of specialized post-graduate industry-certified B2B and B2C courses, executive programs, and diplomas in collaboration with recognized universities in India and overseas, with placements, making learning accessible to a wide audience.
Though they operate in the finance, technology, analytics, marketing, and management domains, their key focus is finance and data analytics.
Imarticus Learning boasts of a global offline presence with centers in India in Mumbai, Thane, Pune, and Ahmedabad in the west, Delhi, Gurugram, Noida, Jaipur, Patna, Lucknow, and Dehradun in the North, Bangalore, Hyderabad, Chennai, Cochin, and Coimbatore in the South, Kolkata in the East, and Dubai in UAE.
In these cities, they work on a hybrid model of teaching, i.e., classroom and online. Online programs are available worldwide. Most of the courses offer weekday and weekend options to students which enables working and non-working individuals to register for these programs. They also offer programs for corporate clients.
Their primary focus is to blend classroom theoretical learning with hands-on experiential and practical knowledge. Their hiring partnership with over 500 multinational companies including names like KPMG, RBS, SOCIETE GENERALE, UBS, Tata Consultancy Services, HSBC, Capgemini, Fractal, Goldman Sachs, and TESCO, to name a few, opens better employment opportunities for their students.
Find here the top-ranked investment banking courses for career advancement:
Following is a list of courses offered by Imarticus Learning
Job Assured Programs
Certification Courses
Executive Programmes
University Degree Programmes
Certified Investment Banking Operations Professional
Certified Management Accountant USA
IIM Indore
Postgraduate Certificate Programme for Emerging CFOs
BIMTECH
Postgraduate Diploma in Management
Postgraduate Financial Analysis Programme
KPMG Financial Analysis Prodegree
IIM Lucknow
Advanced Management Programme in Financial Service and Capital Markets
KL
MBA in Fintech
Postgraduate Programme in Banking and Finance
Association of Chartered Certified Accountants, UK
IIM Kolkata
Executive Programme in Investment Banking and Capital Markets
Geeta University
MBA in Fintech
SP Jain
Global Professional Certificate in Fintech
Delhi School of Business
PGDM in Fintech
BCom – Rathinam College of Arts and Science
This list indicates their core competence is Finance and Fintech and their courses are a good fit for those seeking opportunities in Finance and Banking Industry.
Imarticus Investment Banking Course Review – Founder and Leadership Team Credentials
The Imarticus Learning leadership is led by a team with expertise and experience in the Finance and EdTech domain. Founded in 2012 by Mr. Nikhil Bhashikar, a serial entrepreneur and a Finance and Economics Graduate from Rutgers University and Executive MBA from London Business School and Columbia Business School.
He spent a significant number of years in the banking and finance industry working in leadership and advisory roles at Lehman Brothers and Nomura before his entrepreneurial venture. Co-founder Ms. Sonya Hooja is also a Rutgers University graduate in Arts, Economics, and Information Technology with an MBA from INSEAD.
She has experience in analytics and consultancy having worked in these roles at Accenture, Lehman Brothers, and ACS, before beginning her entrepreneurial journey.
The founding members are supported by a core management team with vast experience in finance, banking, education, training, technology, human capital management, business and product development, and general management.
Given the collective knowledge and understanding of the focus domain of the management team, it is reasonable to expect the delivery of quality courses and education by Imarticus Learning.
The advisory panel at Imarticus consists of several expert industry veterans who have played a key role in shaping the course of various industries. This adds additional gravitas to the image of this institute.
Imarticus Learning – Endorsements, Media Coverage, and Awards
Source – Imarticus Learning website
Media Coverage
Offline media coverage of Imarticus includes trusted names like the Times of India, India Today, Career 360, and The Indian Express to name a few.
Awards
Imarticus Learning has also been bestowed The ET Best Education Brands 2022, Indian Education Awards 2022, Sonya Hooja Most Promising Women Leaders in 2021 by The Economic Times, Certification of Recognition for the “Best E-Learning Company of the Year” Entrepreneur India, The Education Innovation Conclave and awards 2020 for The Best Hiring or Internship Solution by EdTech Review, Business World Education 40 under 40.
Their flagship investment banking training course goes by the name of Certified Investment Banking Operations Professional (CIBOP). This is an industry-recognized certification. The course duration is 2 months for weekday full-time and 3 months for weekend part-time.
This is a post-graduate certificate course for finance graduates with 0-3 years of experience.
Their teaching methodology is instructor-led interactive live online and offline classes. It includes peer discussions, seminars, case studies, etc. Students are also involved in industry projects designed by industry experts, that provide the students with an opportunity to apply their learning to solve real-world business problems.
This module introduces the learner to the basic concepts of Investment Banking operations like trade life cycle and reconciliation. At the end of this chapter, the student understands the fundamental process and framework involved in settlement and reconciliation, KYC and money laundering, and the trade life cycle.
This part of the investment banking training program covers the regulatory environment for financial markets, especially the legislation introduced post the subprime mortgage crisis in 2008 to improve transparency and efficiency.
During this segment, the student gets a grip on the application and implications of the regulatory framework in investment banking operations along with knowledge of the fundamentals of risk management.
Ms. Lourdes Miranda, an ITM, Kharagpur, Executive MBA alumnus, has expertise in middle and back-office operations in investment banking. Ms. Miranda has over 6 years of experience in investment banking at JP Morgan Chase and SS & C GlobeOp. Besides her core subject, she has a keen understanding of various other elements covered in this course.
Mr. Rakhshit Rao, an experienced hand in investment banking operations with over 13 years of experience working at Goldman Sachs and Societe Generale, currently manages the training on financial instruments. He holds a degree in Business Management and a Master of Arts in history.
Ms. Nandita Nadig has expertise in financial market products and operations. Her excellent communication and unique story-based approach to delivering learning sets her apart from other trainers.
Mr. Vikrant Tapaskar has experience in the financial services industry and investment banking operations. Besides subject knowledge of aspects associated with the course, his special skill is people development and training.
The combined pool of academic qualifications, knowledge, experience, and skills of the faculty inspires confidence in the learning outcomes of this course.
Imarticus Investment Banking Course Review – Deliverables of the Investment Banking Training Program
100% Job Guarantee as investment banking professionals
Career support by assisting in resume building and interview preparation
The Economic Times ranks the following institutes as the Top 5 investment banking courses in India:
DataTrained – Offers a 6-month post-graduate certificate program in collaboration with the London Governance and Compliance Academy
Imarticus Learning
AIWMI – Requires the students to take an aptitude exam designed to test the skills of applicants and tailored for professionals looking for career growth
The Wall Street School – Financial Modeling online course
NSE India – Offers a postgraduate program in investment banking and capital markets
Considering DataTrained is the nearest competitor of Imarticus Learning, we shall compare the syllabus, faculty, duration of the course, eligibility, fee structure, etc. of both institutes.
Imarticus Investment Banking Course Review – Comparison With Datatrained
Imarticus Learning
DataTrained
Leadership Team
Entrepreneurial spirit, educational background, and experience in Finance and Technology
Entrepreneurial spirit, experience in education, training, human capital management, and technology
Course Duration
2 months weekday and 3 months weekend option
6 months, weekday, and weekend options are available
Course Fee
Rs. 1,40,000
Rs. 90,000 plus 18% GST = Rs. 1,06,200 and Rs. 50,000 placement success fees
Course Delivery Mode
Live Online, and Classroom
Live Online and classroom
Course Qualification
Finance graduate with less than 3 years of experience
Graduate with less than 3 years of experience
Faculty credentials
Experienced in investment banking operations and products
Experienced in investment market operations, products, and technology
Course Syllabus
Exhaustive introduction to financial market functions and products
The basics of finance module focuses on improving understanding of corporate finance
The trade life cycle is focused on an introduction to investment banking operations
Introduction to Financial Statements teaches reading and analysis of the 3 basic financial statements
Risk Management is significant especially after the 2008 subprime mortgage crisis keeping in view the changes in the regulatory framework
The basics of economics module are designed to teach micro and macro-economic fundamentals
Introduction to basics of investment banking
Hands-on learning including projects and case studies
Hands-on learning including projects and case studies
Introduction to financial modeling
Basic and advanced Excel and Microsoft PowerPoint
Discounted cash flow, relative and start-up valuations
Cost of capital
Mergers and Acquisitions along with Leveraged Buy Out including case studies
Financial management of start-ups
Soft skills training includes communication skills, resume building, interview, and job readiness preparation
Resume-building assistance and interview preparation
Imarticus Investment Banking Course Review – Strengths and Opportunities
Key criteria considered while taking up any online course
Reputation and ranking of the course and institution
Imarticus Learning is ranked number 2 in India by The Economic Times and enjoys a good reputation in the EdTech space. Their investment banking course is endorsed and approved by the industry. Their leadership team has significant domain expertise and authority.
The details and focus of the curriculum, including experiential learning which is of great value to the students as it enhances their resume and increase their employability
Imarticus Learning offers a robust and comprehensive curriculum that covers the fundamentals of investment banking operations. It also includes soft skills training which is a critical need for any corporate job. Their hands-on experiential training includes research, real projects, and case studies. Peer and industry interactions build the student’s confidence and networking skills.
Duration of the investment banking training and eligibility
The duration of this course is quite reasonable and aids time commitment, especially for working professionals. The course seems to be structured for upskilling finance and commerce graduates with less than 3 years of experience and corporate employees, so this is a great fit
Keeping in view the parameters we had established to base our review, the investment banking training program does deliver on developing research and analytical capabilities, and soft skills, along with knowledge of the regulatory framework and industry-specific technology and instruments.
Imarticus Investment Banking Course Review – Points to Ponder
The internet has been a great leveler in terms of access to education. It has broken barriers and boundaries of reach beyond the physical infrastructure. The pandemic further accelerated this trend with increased internet penetration worldwide, including in India, due to the necessity to move education online.
This trend has continued post-pandemic too with postgraduate diploma and certificate courses available online. There is a plethora of certificate course options available to students to choose from both online, offline, and hybrid, free and charging tuition fees, affiliated with established institutions, and standalone industry-approved.
Large reputed local and international business schools are also offering online certificate courses to cash in on the commercial opportunity this segment provides. So how does one decide which model and institute to select to pursue their educational and career goals?
The key factors influencing this decision are:
Price point – Does the price justify the net outcomes? The reason for a student to choose a paid course is to gain hands-on experience with projects and case studies as theoretical knowledge is available for free online.
In the case of Imarticus Learning, the price of an investment banking course could be a barrier as similar courses are offered by competitors at a lower price without compromising on the quality of education.
Success measurement metrics – Job guarantee is another key influencer in the selection process.
The course at Imarticus does offer a job placement guarantee with a high success rate. However, how do we test the veracity of this claim? Their biggest competitor DataTrained offers a low tuition fee and charges a separate fee after the successful placement of the candidate. This could be a significant differentiator in the decision-making process.
Return on Investment – What kind of earning and career progression opportunities does a course provide post-completion?
An analysis of the job opportunities available to a candidate post-completion of the investment banking course at Imarticus suggests that the candidates will be fit for entry-level jobs as financial analysts and associates in financial institutions.
Considering the qualification required to take up this course at Imarticus is a graduate in Finance, the ROI does not seem significant for freshers as the student is already qualified for entry-level jobs at financial institutions. They can learn the fundamentals of investment banking on the job, as an intern in the real world, while earning. This course seems more suited for working professionals looking to brush up or enhance their skills.
Furthermore, the Imarticus investment banking course review indicates that it does not contribute to increasing the talent pool available to the industry. The competitor program is structured towards attracting candidates outside the commerce and finance world with an aptitude for finance, which is tested, and infuses the industry with fresh talent that brings in new perspectives and adds dynamism to the industry.
FAQs Related To Imarticus Investment Banking Course Review
Is investment banking a good career?
Investment banking has emerged as a good career option for finance and commerce graduates as demand is robust. Investment banking is a specialized field in the banking service industry and requires a special set of skills and knowledge of the capital markets and regulatory framework. This job demands long work hours and working on tight timelines and schedules.
What is the eligibility requirement?
This is a postgraduate certificate course. Eligible candidates must possess a degree in finance, economics, or commerce with 0 to 3 experience to qualify for the investment banking course at Imarticus.
What is the fee structure of this course?
The fee for the investment banking training program at Imarticus is Rs. 1,40,000 inclusive of GST. Payments can be made using credit or debit cards or bank transfers from any leading bank in the country. They offer EMI options too.
What is the refund policy?
A full refund is not available at Imarticus. Their refund policy is quite structured with fixed guidelines to initiate refunds. They have a refundable and non-refundable component to their fee structure.
What types of jobs are available after the course?
Entry-level analysts, associates, consultants, specialists, or researchers’ jobs associated with investment banking operations and regulations, at banks and financial institutions, are available to candidates upon successful completion of this course.
Imarticus Investment Banking Course Review – Final Thoughts
Like any other business investment banking is a highly specialized and competitive field, perhaps a little more so considering the risks associated with the field. You are dealing with and advising clients on money matters that directly impact their success or failure. This job comes with a lot of responsibility.
Keeping this in view, any additional skill or knowledge you pick up goes a long way in assisting you with fulfilling your role and developing your resume.
However, you do need to evaluate the return on investment before taking up a course to make sure it is aligned with your learning needs and career goals. As the saying goes, learning never stops! So go on learning if it assists you in achieving your full potential. Here we conclude the guide to imarticus investment banking course review.
You see that small coffee shop in the corner of your lane on Instagram with more than 50k followers. How??!! Then you notice the luring advertisements on Facebook and once you register you get amazing deals and offers on your email and your mobile. There now you are sure to visit it once and are stunned to see the trendy crowd filling the café. How was this possible, Of course, the Power of Digital Marketing. So are you keen to join the bandwagon, and have a look at some of the Top Digital Marketing Courses in Hoshiarpur and their scope?
1. What Is Digital Marketing?
It all started in 1971 when the first email was sent by Ray Tomlinson. After 1990 the internet started taking over the world. By 2022 there were online subscribers globally who would be logged on the whole day, work-wise or maybe just for networking. Thus, started the concept of Digital Marketing to capture this ever-growing set of users. In simple terms, it involves engaging online subscribers using digital tools of advertising. These digital tools could be applied to any electronic devices and would be used to promote their products or services to increase their market share. The different channels of Digital Media are as follows:
1. Search Engine Optimization:
Google, Bing, and Yahoo are just a few examples of search engines, without which a person has no other way of finding anything. Advertisers use these search engines as a means to drive relevant user traffic to their websites. They optimize and improvise their websites in such a manner that they rank high in visibility in all search engines. So when a customer is looking for the product you sell or the service you offer there are higher chances of your website popping on the first page of the search engine. Not only does the page rank for selling products but even when a person is searching for information does the website list in the top suggestions given by the search engine.
The different organic marketing strategies in SEO are as follows:
Keyword Research
Quality Content Creation and Management
Internal and External Linking
Metadata Optimization
Image Optimization
URL Structure
Off Page and On page SEO management
2. Content Marketing:
Content Writing is a form of inbound marketing that is currently being used by almost all the big brands. In this mode of marketing, no product or service is being sold, but valuable and reliable content is written and constantly updated on the websites to ensure that the expertise of the company in that particular area is visible. This ensures that useful information is being projected to the potential customer, which has a higher probability to change them to actual users. Well-written content remains top of the mind recall and indirectly or maybe directly can promote the brand.
Content Marketing involves the following methods, which are:
Blogs
Infographics
Videos
Newsletters
Whitepapers
Social Media Posts
Emails
Podcast
eBooks
Case Studies,
Testimonials, and Reviews
Influencer Marketing
3. Search Engine Marketing:
When a customer is ready to buy a product he/she will put in the exact word which is near to describing what one wants precisely. These words are known as keywords and they form the basis of Search Engine Marketing. Businesses pay money to Search Engines to advertise their product or service alongside the keyword on the pages the potential customer is surfing to convert him/her to an actual user with sale. Since the marketplace has become very competitive , relying only on organic search is not viable. The various tools of SEM are:
Pay Per Click
Local SEO
Organic SEO
Analytics Tools
Keyword Research tools
Ad Copy and Landing Page creation tools
4. Social Media Advertising:
There are 4.8 billion social media users who are mostly online the whole day surfing various social media sites.Social Media sites like Facebook, Instagram, Twitter, Snapchat, TikTok, and LinkedInhave the details of the likes and dislike analytics of their user base, thus making it easier for advertisers to customize ads according to the target user base. Advertisers pay to advertise on these social media sites in such a manner that they look more like organic pages. They are interactive and the customer base can like and leave messages, making it easier for advertisers to tweak their campaigns.
The different channels of Social Media Advertisements are as follows:
Video ads
Static Image ads
Collection ads
Messenger ads
Stories ads.
Interactive ads
Lead Form ads
Interactive ads
Product ads
Carousel ads
5. Social Media Marketing-
Social Media Marketing involves running paid advertisement campaigns, building communities for adding potential customers and starting a trend to be top of the mind recall
Content Creation and Management
Community building and managing
Advertisements
Influencer Marketing
Reviews
Forums
6. Email Marketing–
Email marketing is a soft sell method in which the customers are made aware of the discount offers, new product launches, and new setups through emails. The emails are customized in such manner that the promotions sound more personalized.
The different types of Email marketing are as follows:
Newsletter Emails
Welcome Emails
Transactional Emails
Brand Story Emails
Lead generating Emails
Re-Engagement Emails
Video Emails
Review Request Email
7. Web Analytics
Data Analytics has become a revolutionary concept since its inception. This way of analysis uses various reporting tools which give the actual results of the advertising campaign in comparison with the targeted goals. The trends and variances help the advertiser to modify the campaigns in real-time and in shorter time periods. These techniques used for Web Analytics are as follows:
Social Media Analytics Tool
SEO Analytics Tool
Customer Analytics Tool
Content Analytics Tool
A/B Multivariate Testing Tool
Usability Analytics Tool
General Enterprise Analytics Tool
Product Analytics Tool
Open Source Web Analytics Tool
Benefits Of Digital Marketing
The Digital Marketing industry share was $350 billion in 2020 and is expected to be net worth $750 billion by 2026. Following the trends in the internet and social media users, 63% of big, medium, and even small industries have increased their digital marketing budget. The following information will shed a different light on the importance of digital marketing:
● Online marketing increases brand awareness by 80%, which is nearly 45% of online customers.
● Before buying any product offline or online, 93% of people read online reviews and based on them decide.
● Through Digital Marketing companies get to target the potential customers from their niche only ending in higher conversions..
● Digital marketing reaches a larger audience, and different niches much easier than traditional marketing
● Cost management is better optimized as the targeted audience, based on age, gender, platform, location, interests, and browsing trends are pinpointed.
● As digital marketing can be analyzed in numbers and values, companies can check their performance on a day-to-day basis.
● Companies can customize their digital ad campaigns faster than traditional campaigns, where the changes mean huge cost
● As accurate results are viewable in a faster turnaround time, companies can make more informed decisions.
Top Digital Marketing Courses in Hoshiarpur
Hoshiarpur city is close to Chandigarh which has a good business setup and the proximity helps students get suitable employment. Here is a list of institutes that offer Top Digital Marketing Courses in Hoshiarpur:
1. IIM SKILLS
IIM SKILLS Digital Marketing Course is counted among the Top Digital Marketing Courses in Hoshiarpur. It was started in 2015 and has gained fast a reputation of being amongst the list of the country’s top edutech companies. It not only has its presence in Hoshiarpur but is present in 23 cities in Asia including Singapore and Dubai. It boasts of training over 35k students globally and has imparted more than 9500 training schedules in different subjects. Its Digital Marketing Course has been awarded a 4.9-star rating by Google.
Course Features: The highlights of this course which make it count among the Top Digital Marketing Courses in Hoshiarpur are as follows:
The course imparts training and many assignments using tools like SEO, WordPress, SEM, Google Analytics, Woocommerce, Elementor, Ninja, etc. The assignments help in gaining practical knowledge of working with these tools.
The institute offers free access to tools worth Rs.79000 which is very helpful for students to gain knowledge of the optimal usage of these tools while training and complete guidance is provided while using these tools. They are a great help while looking for employment opportunities.
There are more than 10 case studies covered and more than 17 live projects carried out during the training period which helps in practical knowledge of the actual business implementation scenario and also helps in building a strong portfolio for the student also.
A paid internship is offered at the end of the training where the students get the advantage of working on projects for real-time experience.
Contact Information: The students can get in touch via email at info@iimskills.com
The institution was established in 2010 and at present boasts of being a pioneer in imparting Top Digital Marketing Courses in Hoshiarpur. The founder Surjeet Thakur has more than 17 years of experience in the same field and has a strong trainer team of more than 42 experts from the same area. They have completed more than 2400 batches and have trained more than 12k students. They offer a plethora of courses in Digital Marketing,these are as follows:
Master in Digital Marketing Program
Course Duration: 11 months
Course Fees: 120000
Teaching Mode: Online
Modules Covered:
Website Planning and Creation
Search Engine Optimization
Pay Per Click Google Ads
Social Media Marketing
Youtube SEO Marketing
Lead Generation Strategy
E-commerce Marketing
Blogging and Vlogging
Google Adsense
Affiliate Marketing
Video Editing
Graphic Designing
Website Designing
Course Features: The following features that this course offers, are the reasons for it being nominated as the Top Digital Marketing Courses in Hoshiarpur:
The institution assists students in getting more than 20 internationally recognized certifications like Hubspot, Google, SemRush, etc.
After the course completion, the students get free membership of Digital Marketing tools which are worth Rs.3.5 lac and helps them to not only learn the practical usage but also is a great advantage while looking for job opportunities.
The course is replete with more than 35 case studies and live projects to give the students exposure to the actual business working scenario.
They are ISO 2000-certified courses that hold great value among other Digital Marketing courses offered by different institutions.
During the 6 month internship, the students get the opportunity to work on actual campaigns.
The institution not only offers a 100% placement guarantee but also helps in resume building and preparing for the students’ interviews.
The institution also offers other short-term courses which are as follows:
Diploma in Digital Marketing
Advanced Digital Marketing Certification
Foundation Course in Digital Marketing
Paid Ads Certification Course
Search Engine Optimization Certification Course
Social Media Marketing Certification Course
E-Commerce Marketing Certification Course
YouTube Marketing Certification Course
Affiliate Marketing Certification Course
Google Adsense Certification Course
Email Marketing Certification Course
Content Writing Certification Course
Contact Information – The physical location of the office is
SCO-54-55, 3rd Floor, Sector 34, Chandigarh
Telephone No: +91 9915337448
E-mail: infor@ciim.in Website: www.ciim.in
3. Solutions 1313
The institution was founded in 2010 with a mission of providing high-quality online courses to students all across the globe. The institution is also an IT consulting firm, thus making it stand out amongst the list of Top Digital Marketing Courses in Hoshiarpur. It offers a plethora of IT courses. The course specializing in Digita Marketing is as follows:
Master in Digital Marketing Program
Course Duration: 6 months
Course Fees: Not Disclosed
Teaching Mode: Online
Modules Covered: The course includes the following modules:
Course Features – The institution is also a digital marketing solutions provider, which gives it an edge over other Top Digital Marketing Courses in Hoshiarpur:
Being a digital marketing solutions provider it designs the modules as per the latest industry developments and changes.
The course lets the students work on live projects giving them a better understanding of the actual working on a job.
The institution assists students in getting more than 5 internationally recognized certificates.
The batches are organized at the convenience of the participating students, thus ensuring face-to-face interactions with each student.
The internship for students is conducted in companies, allowing them to be absorbed in those companies.
The students have assured 100% placement and assistance in resume building and interview preparation.
Contact Information – The physical location of the institution is
44, BN Khalsa School Complex, Patiala
Telephone: +91 9216041313
Email: info@solutions1313.com
Website: www.solutions1313.com
4. Digital Raisers
The institution was founded in 2019 to provide digital marketing solutions to companies. They have forayed into the area of training and are fast gaining a foothold in the list of Top Digital Marketing Courses in Hoshiarpur. They claim to be the best SEO company in Punjab and were awarded the best Digital Marketing Company in Punjab in 2020. Here are the details of the training course provided:
Advanced Digital Marketing Training
Course Duration: 5 months
Course Fees: Not Disclosed
Teaching Mode: Online
Modules Covered: The course includes the following modules:
Website Planning
Domain Marketing
Website Creation
Content Writing
Keyword Research
Adobe Photoshop
Search Engine Optimization
Technical SEO, Black Hat SEO, E-commerce SEO, Local SEO,
Course Features – The following highlights of the course make it well-known among the Top Digital Marketing Courses in Hoshiarpur:
The course is designed keeping the convenience of the students in mind, thus, weekend classes are available for working professionals and students who cannot manage courses on the weekday.
Students get to design and manage their own live ad campaigns
They provide assistance in acquiring Google certification.
The training includes many live projects and case studies to give the students exposure to actual working in a company.
Contact Information – Jalandhar Punjab
Telephone No: +91 8427210567
E-mail: digitalraisers@gmail.com
Website: www.digitalraisers.com
5. Amritsar Digital Academy
Amritsar Digital Academy featured in the list of 5 Top Digital Marketing Courses in Hoshiarpur since its inception in 2019. The institution is run by digital marketing experts who have been in this field for the last 10 years. Here is a glance at the course they provide :
Advanced Digital Marketing Course
Course Duration: 3 months
Course Fees: Not Disclosed
Teaching Mode: Online and classroom
Modules Covered: The course includes the following modules:
Inbound/Outbound Marketing
Keyword Research
Digital Marketing Strategy
Online Marketing Tools
SEO
PPC
E-mail Marketing
Social Media Marketing and Management
Digital Display Marketing
Mobile Marketing
Website Analytics
Web Automation
Growth Hacking
Planning Digital Marketing Campaigns
Course Features – The following features enable the institution to be counted among the Top Digital Marketing Courses in Hoshiarpur:
Google Ads, Google Search Console, and Google Analytics are a few certifications that are internationally recognized and the institution provides assistance to the students in gaining them.
The institution provides the option of training courses in any one subject exclusively.
The batch sizes are small to engage students in face-to-face best teaching practices.
There is a plethora of live case studies during the training to ensure a real business practice scenario simulation for the students
They assure excellent placement opportunities due to their extensive networking
Contact Details –
Address: SCO 113, District Shopping Complex, Ranjit Avenue, Amritsar
Telephone: +91 7401074444
Email :info@amritsardigitalacademy.in
Website :www.amritsardigitalacademy.in
Conclusion
With the massive shift in the number of users from traditional print media to online usage, digital marketing is already gaining a strong foothold in the world of advertising and marketing. Businesses understand, that to get a competitive edge they have to change their marketing strategy with less focus on traditional marketing methods and more shift towards Digital Marketing. Punjab is the financial, retail, and banking leader in India. Thus, enrolling in the Top Digital Marketing Courses in Hoshiarpur ensures students a course that is designed keeping in mind the current practices and trends in the industrial sector. Since most of the institutions offer online courses, the advantage of which students from any walk of life can take part while doing so without any need to travel to the city specifically too.
Why is Hoshiarpur an excellent place to enroll in any Digital Marketing?
Punjab has a robust business scenario with many industries setting up corporate offices. Hoshiarpur in Punjab has good connectivity to Chandigarh which is another industry-rich city with many corporate offices and giant business corporations. Hence due to these reasons, there are ample job opportunities in Hoshiarpur.
What qualification is required to enroll in any Top Digital Marketing Courses in Hoshiarpur?
The students enrolling in Digital Marketing courses need to have a graduation degree in any stream or any equivalent educational qualification. They should have a basic knowledge of working on the internet, social media awareness, and working on basic computer-related functions. There is no prerequisite of work experience and any fresher, students, housewives, businessmen, and professionals can apply with a penchant for entering this domain.
What are the different channels of Digital Marketing and which is important?
There are different channels for Digital Marketing, namely, Search Engines, Social Media, Email, and any other electronic media of advertising. There are no criteria to list the channels according to importance. It all depends on the goal of the business for which the strategy is being designed.
The investment banker career is an immensely rewarding, and invigorating career. At the same time, it involves arduous work, high pressure, and a huge responsibility. Investment bankers have to perform several intricate fiscal duties including mergers and acquisitions, IPOs, drafting business strategies, and overseeing client investments. A career in Investment banking is promising and has a bright future. If you want to learn about investment banking, these top investment banking courses for beginners will help you comprehend the domain within a short span.
What is Investment Banking?
In layman’s terms, an investment bank is a financial institution that provides other institutions or high-profile people looking to expand or improve their portfolios through investments in various financial assets. The clients of these investment banks are majorly Business firms, and Government organizations because they have to deal with huge transactions on a daily basis and need financial and advisory services, too.
That is where Investment bank plays their role by providing these organizations with world-class services in this domain. They use their expertise to structure contacts, raise capital, manage wealth and assets, launch IPOs, hedge strategies, etc. They also help new companies to go public and offer advice to their clients to help them solve their financial challenges.
Often, Investment banks act as intermediaries between security issuers and investors by helping the former find the latter at reasonable prices. Their goal is to maximize their clients’ profits through the various services that they provide. Businesses can improve their operations and minimize risk exposure by taking help from Investment Banks and nearly all the big businesses do that.
Investment Banks too, make a lot of profit by entering partnerships with other organizations, or by offering their services. The concept of Investment banking came into light in the early 19th Century. This was the time when Industrialisation was booming and commercial banks used to provide financial services to various entities.
Its popularity took a leap during the American Civil War of 1861-65, which prompted Jay Cooke, a financier to open the first investment bank to provide financial assistance to US war efforts. With the help of that investment bank, the US Government issued bonds to interested investors which helped the government to raise funds for the war efforts and other obligations.
After the accomplishment of the projects, the investors received their returns in the form of a share of the profits earned.
This model of raising funds caught the world’s eye and investment banking evolved into what it is today. In modern times, investment bankers have become vital advisors to companies looking to make significant changes to their operations.
Commercial Banks vs Investment Banks
The fundamental difference between Commercial banks and Investment Banks lies in the type of customers they serve. Commercial banks provide services to small and medium-sized businesses and individual customers. It is done through various methods like receiving deposits, safeguarding assets, providing loans, etc.
Investment Banks, on the other hand, have their focus on catering to the needs of big corporations like Multi-National Corporations (also known as MNCs) and institutional investors. These banks receive deposits from their clients, secure assets, grant loans, and work with various entities ranging from private individuals to big companies.
On the opposite side, Investment Banks offer specialized services like issuing securities that are frequently used in stock market trading, providing funds for large-scale business projects, and offering asset management solutions to massive corporations and institutional investors.
The world of investment banking is essential for the growth and progress of economic markets around the globe. There are various types of investment banks in the world, often classified based on their size, scope, the type of clients they cater to, etc.
1. Bulge Bracket bank
Bulge bracket investments are among the most prestigious entities on Wall Street. They give attention to deals worth $1 billion or more and anything less than this amount is considered too small for these bulge-bracket investment banks. These ‘big banks’ operate on a global scale and offer an ample range of financial services, like sales and trading underwriting, wealth and asset management, merger and acquisition advice, and research.
The Bulge bracket investment banks are best suited for dealing with high-value transactions carried out by governments, financial institutions, high-profile clients, and multinational corporations.
2. Middle-Market bank
Mid-market investment banks are prominent financial organizations that provide services to small and medium-sized businesses (SMEs). They carry out deals sized between half a billion and one billion dollars. This type of investment bank offers expertise in areas such as debt restructuring, mergers, and acquisitions consulting, raising capital, etc.
Mid-market banks primarily operate at regional levels. They work closely with clients to develop structured solutions for their individual needs, unlike larger financial firms that focus on global operations. This type of banking is essential to boost the development and growth of small and medium-sized businesses in the world by providing them with the necessary resources to succeed.
3. Elite Boutique bank
Elite boutique investment banks are diminutive yet significant financial institutions. They specialize in a particular sector or industry of the market. Unlike other bulge bracket banks, they employ smaller teams and have fewer resources available to them. However, they know their clients on a more personal level and provide valuable advice with long-term objectives.
This deep insight into the market gives them an edge in competing against larger banks for deals. These banks offer financial and advisory services to their clientele to the best of their abilities and are notable components of the modern financial infrastructure.
With increased specialization in certain industries, Boutique investment banks are capable of providing a high level of knowledge to their customers. Their ability to maintain long-term relationships with these clients is what sets them apart as leaders in this field.
4. Regional Boutique bank
Regional boutique investment banks are knowledgeable financial organizations that provide specialized services and advice to clients in a particular geographical region. Typically, they specialize in deals up to $50 million. However, their value is more than just the capital they deal with.
These regional boutique banks have a noteworthy presence within local economies and are known for providing personalized services to companies of all sizes. Understanding the subtlety of each client’s needs, they offer various advice like Mergers and acquisitions advisory services, capital raising guidance, restructuring options, etc.
They can pinpoint critical objectives that support mid-sized businesses and assist them during each stage of their development. These small institutions are essential partners in stimulating economic growth in their local markets.
Here is a top list of investment banking courses for beginners-
1. IIM SKILLS
IIM SKILLS is a top-ranking institutions that have a wide range of courses offered on the online platform. They are the globally leading in the list of top ed-tech company that offers the best investment banking courses for beginners.
They started their journey in the year 2015, with Vaibhav Kakkar having their base in Delhi.
IIM SKILLS started with their first course in content writing and in a short span they have expanded and grown with a wide of courses that are offered online.
Among all their recommended courses, Investment Banking Courses for Beginners has the highest ranking worldwide.
The Financial & Valuation Modeling program is a comprehensive training program that prepares you for the investment banking world. These investment banking courses for beginners are used by many top-tier firms to train their professionals.
To get a better understanding of basic concepts of Investment Banking, you will receive 38 mini-courses in addition to this extensive program. If you want to make the best out of this course, you should have basic knowledge of accounting principles and how to use Excel.
These are the minimum requirements that you need to fulfill before joining the course. The knowledge and skills that you will gain from this program will give you a competitive edge in this field especially when you will apply for Investment Banking Jobs.
Before enrolling in investment banking courses for beginners, make sure that you possess intermediate proficiency in accounting and Excel.
The Complete Investment Banking Course is one of the perfect investment banking courses for beginners, that is for those who are just starting out in this field and seeking to learn everything from the ground up. This investment banking course includes both theoretical elements of Investment Banking and its practical lessons.
After completing this course, you will have acquired a vast range of knowledge in this field that will help you when you will apply for or attend an investment banking interview. You will be able to build financial models and receive an in-depth understanding of all four major parts of investment banking.
Along with this, you will also obtain interview-clearing skills because it is important to have good communication skills along with knowledge and experience in this field. This Udemy course will give you a comprehensive understanding of Investment banking.
4. Skillshare
Duration of the course- 54m
Course Provider- Afzal Hussein (Skillshare)
Mode- Online
About the Course-
The Investment Banking Divisions Explained course gives a comprehensive introduction to the various divisions in an investment bank. These investment banking courses for beginners will help you gain a better understanding of how each division in an investment bank operates. It will also give you the knowledge and confidence required to approach interviews confidently.
What can be expected from the Investment Banking Divisions Explained course?
In this investment banking course, you will learn about the theoretical concepts of investment banking as well as their practical application. This will give you the ability to decide which division best suits your interests and career goals.
In addition to this, you will gain an understanding of the basics of investment banking and how investment banks generally operate. With that knowledge, you will be more prepared to express why you are interested in any division during an interview or meeting.
5. edX
Duration of the course- 2 weeks (3-4 hours per week)
Course Fee- Free of cost
Mode- Online
Course Provider- edX
About the Course-
The Essential Career Skills for Investment Banking and Finance course is great for beginners. The tutors of this edX course have decades of experience and all the theoretical and practical know-how in this field.
You will gain various insights into financial institutions. This will provide you with a deep understanding of the financial literacy that is important to become a successful investment banker.
6. Coursera
Duration of the course- 5 Months (approx.)
Course Provider- University of Geneva (Coursera)
Mode- Online
About the Course-
Investment Management Specialization gives a detailed overview of the different investment strategies that are used by investors around the world. This one of the best investment banking courses for beginners covers both practical and theoretical aspects of investment banking.
You will acquire the necessary skills to develop a plan for meeting long-term investor goals as well as build and manage clients’ investment portfolios.
You will begin by learning about the global markets. Then, you will learn how to create your own investment portfolio, considering past and probable future trends. In addition to this, these investment banking courses for beginners provide guidance on handling customer relations in an ethical manner and staying abreast of current industry practices.
7. Financial Edge
Duration of the course- 44h
Course Provider- Financial Edge
Mode- Online
About the Course-
You can gear up your resume and achieve a well-recognized Wall Street certificate with the help of the Investment Banker course. It is one of the most comprehensive online investment banking courses for beginners in which you will learn everything you need to know about investment banking – from the basics of accounting methodology to making a successful deal.
In addition to the knowledge, you will gain from these investment banking courses for beginners about investment banking, you should also acquire more skills to enhance your career as an investment banker. You will learn some of them in this course, the rest you will have to gain independently.
8. Khan Academy
Duration of the course- 3h
Course Provider- Alison (Khan Academy)
Mode- Online
About the Course-
Introduction to Valuation and Investing is an insightful online investment banking courses for beginners that is completely free of cost. This course introduces participants to the basics of valuation and investment.
The course uses notable examples and methodologies to ensure all topics are understood easily; benefiting those wishing to build their understanding of this field.
With its easy-to-follow structure, this investment banking courses for beginners hopes to give you a better insight into the financial world.
Qualities of an Investment Banker
Financial Management
To become successful in the field of investment banking, it is essential for candidates to have strong financial skills along with a stronghold in subjects like Economics, Mathematics, and Accounting. To understand the complexities of finance, a mere understanding of banking operations is not sufficient.
Investment bankers must possess strong analytical skills along with the ability to grasp complex concepts that revolve around financial models and valuation. They should also have a curiosity that keeps them going when they confront new tasks and present innovative solutions. This helps them to meet their job requirements efficiently and paves the way for career advancement.
Strong Analytical skills
Investment bankers are given the heavy responsibility of collecting, evaluating, and analyzing data so that they can make informed decisions. Moreover, they should be able to take large sets of data and draw meaningful insights from it. This requires good knowledge and experience in economics, finance, mathematics, and related fields. Investment banking is a competitive field so recruiters usually prefer candidates who demonstrate strong analytical and problem-solving skills.
Good communication skills
Irrespective of the role, strong communication skills can be a great advantage to success in any career. Investment bankers have to put a fair share of their daily energies into communicating with clients and colleagues. They have to explain financial topics in a straightforward yet convincing way.
For the banker looking to make an impact in the industry, he should boost his communication and presentation skills. Along with this, it is essential to master the art of listening because good listening skills help a professional to better interpret messages and accurately anticipate the needs of clients or team members, thereby leading to better decisions and improved outcomes.
Tough Mindset
There is no questioning the stressful nature of investment banking. Long hours, immediate deadlines, and major consequences make it a high-pressure industry. This propels the need to develop personal resilience for an investment banker to make it in the financial sector.
Working in finance can take its toll on the most seasoned professionals, so having the ability to quickly recover when times get tough could contribute to their longevity in this business. Personal resilience involves numerous different capabilities, such as being able to handle criticism, bouncing back from failures, and maintaining strong communication under pressure.
These capabilities are the important foundations of successful investment banking. Yet having these qualities is not sufficient in itself; you need to also develop ways to ensure that you stay healthy and motivated during your career. This could involve exploring stress management techniques, efficient time management habits, and cultivating relationships with your colleagues as support networks.
Time Management
The job of an investment banker requires multitasking. He has to deal with multiple clients and tasks at once. So, it becomes essential for him to complete all the responsibilities without any delays. That is why it is important to have good time management skills or adopt project management tools that will enable an investment banker to properly organize his workload.
Trust
The clients of an investment banker trust him to handle their finances with confidentiality. His reputation can be affected greatly if he breaks the trust of even one client. He can also get into legal trouble if he mismanages the money of his clients since a huge amount of money is managed by these investment bankers. It can be a rewarding journey with the right knowledge and skills.
One needs sharp cognitive ability, excellent communication skills, and acute attention to detail to take care of his client’s interests and achieve success. It is also of utmost importance that an investment banker always acts with honesty and maintains up-to-date knowledge of the regulations of the marketplace.
Frequently Asked Questions About Investment Banking Courses for Beginners
1. Is Investment banking a lucrative career option?
Yes, Investment banking is a lucrative career option as it is immensely rewarding and profitable. At the same time, this banking field is quite challenging and requires a lot of dedication, risk, and hard work. As these banking professionals help clients make more money, it is obvious that they too, earn a lot. In India, their average annual salary lies between 5-15 lakhs, while the experienced ones get over 20 Lakhs. The professionals that do their job well are also given bonuses from time to time.
2. Is the job of an investment banker stressful?
The job of an investment banker involves a lot of stress. These professionals have to work for long hours, sometimes as long as 18 hours a day. If your output lacks quality, working hard for long hours will only lead to disappointment. This is why, it is important that an investment banker finds a way to maintain composure and balance in stressful situations at work.
3. How long is an Investment Banker’s career?
It takes around three to six years to complete a degree in Investment Banking or specialization in a related field. One can opt for a Master in Business Administration (MBA) in finance or a related field that will open a plethora of golden opportunities in the field of Investment Banking. It is a time-consuming endeavor that requires discipline, dedication, and expertise across various fields.
Conclusion On Investment Banking Courses for Beginners
Investment bankers carry the responsibility of managing important financial tasks. The Investment banking career has a potential for growth. One can start his/her journey in investment banking by completing a course and being certified. If you feel interested and comfortable enough in this field, then you can go for a degree in the related field, preferably related to finance, get a job and gain some experience in this field, and then go for further studies.
Do you want to start a career in data analytics? If questions such as, you haven’t worked in this field or you have a different education background are holding you back, then you can go for data analytics courses. Even the majority of firms in existence today depend on data analysts and experts are growing more concerned about the skills gap in the industry. here is a detailed analysis and review on the IIM SKILLS vs. Simplilearn Data Analytics Course.
Now the question is: Which data analytics certification programs you should consider for your better career path in the data analytics field? To help you with that, in this article, we have provided how to start a career in data analytics as well as comparative detail of the best IIM SKILLS vs. Simplilearn Data Analytics Course.
What is Data Analytics?
The study of examining raw data to conclude such information is known as data analytics. Many data analytics methods and procedures have been transferred into machinery techniques that operate on unprocessed information for the benefit of humans.
Data analytics may help a business boost efficiency, optimize profit or make more strategic decisions.
Data analytics may take many different forms, such as examining what occurred (descriptive analytics), why something occurred (diagnostic analytics), what will occur in the future (predictive analytics), or what should be done next (prescriptive analytics).
For the most extensive data manipulation, data analytics relies on some software tools, including data mining applications, spreadsheets, open-source languages data visualization, and reporting tools.
How to Start a Career in Data Analytics?
We have explained how to start from zero as a data analyst below.
Although some of the information will still apply to individuals who have some of the basic knowledge already, most of it is written with the assumption that you are new to this field.
It mostly depends on the individual how long it takes to become an analyst. The skills may be mastered in a few months by those with some prior knowledge and expertise. Others will need to spend several years of study.
However, in order to succeed in the field, you’ll need several things, such as
Data-driven innate curiosity
Crucial programming languages and skills
A list of relevant projects to build a portfolio.
An appropriate resume
Impressive profiles on LinkedIn and other social sites
Networking with other Data experts
To Achieve All of These Things You Have to Get Qualified in Data Analytics
Most companies will want to see a validation of your data analysis credentials. There are several ways to do this, and a lot of them depend on your knowledge of the subject as well as your degree of education.
For instance, some colleges provide bachelor’s degrees and master’s degrees in data analysis, however choosing this program will demand a significant time and money whereas full-time education will require 3 to 5 years.
Although, to work in this industry and to become a data analyst, you don’t need a full degree, it can be quite beneficial.
But the easiest way to approach all of the listed things above is through project-based online certification courses.
If you have a computer and access to the internet, learning online allows you the freedom to study from any location in the world. Additionally, completing an online program is far less expensive and appropriate than attending a university.
It is the most adaptable way to start a career in it. In fact, you can get your data analytics certification and finish your data analytics career track in less than a year.
The best online self-study or live courses from reputable institution offers a comprehensive, more diverse curriculum that covers the most crucial data analytics concepts and techniques as well as lots of opportunity for hands-on learning.
When Selecting a Course, Keep the Following List in Mind
An industry-relevant curriculum
Industry expert faculty
Case studies and live projects that help to build your portfolio.
A completion certificate.
Focus on career guidance and interview preparation.
Placement assistant
We have chosen the best ones that provide an outstanding data analytics course with all of the criteria listed above. Both the reputable institutions that is IIM SKILLS and Simplilearn have their way to deliver the course.
We have given the in-depth details of both of the IIM SKILLS vs. Simplilearn data analytics courses comparatively.
About IIM SKILLS
IIM SKILLS was established by Mr. Vaibhav Kakkar and is one of the top leading institutions since 2015. With more than 12+ years of expertise, IIM SKILLS have created innovative and real-world digital education that has benefited more than 35,000 alumni from over 35+ countries across the world and some of the large worldwide network of 350+ job partners.
They provide 100% online education programs in different fields, such as writing programs, finance programs, marketing programs, analytics programs and even training for competitive exams.
Their skill development courses are beginner friendly and excellent for anybody who wants to start their career or wants to shift their career in the industry, even if you have prior experience or not.
Industry expert faculty will provide you with ongoing support so that you may successfully and swiftly complete each module or solve any queries you have while doing the course.
After successfully completing every course, IIM SKILLS will help you to make your professional path through their placement assistance services. They provide guaranteed internships, career guidance, interview preparation, resume building, and job suggestions.
Overview of IIM SKILLS Data Analytics Master Course
IIM SKILLS’ Data Analytics Master Course is a six-month exclusive program excluding a two-month internship guarantee. Their comprehensive learning includes 9 modules with 150+ hour lecture sessions and 100+ hours of practical assignments. Additionally, you can also choose a single module as per your requirements that you want to learn.
This professional course includes 7+ live projects and 10+ case studies with 7+ tools to give you hands-on practice. They provide an optional two-month non-paid internship to help you apply your learning into practice and make you get ready for the industry. Their dedicated placement cell team gives 100+ assured interviews after completion of the course.
This program can assist newcomers and recent graduates in breaking into the data analytics field as their curriculum covers basic to advanced concepts. Therefore, this training also helps anyone wishing to make a change in their career in the data analysis field, even professionals working in this field can also upskill themselves through this course.
About Simplilearn
Simplilearn is an online learning platform established by Krishna Kumar in 2010.
Online certification courses, master’s programs, job-oriented programs, and other post-graduate credentials in subjects including, cyber security, digital marketing, business analytics, cloud computing, project management, and artificial intelligence are available on the Simplilearn website.
In order to provide online courses that equip students with useful tech and business skills, Simplilearn has worked with top international organizations including Purdue University, Caltech, Microsoft, International Institute of Business Analysis (IIBA), and Amazon Web Services (AWS).
They also provide self-paced courses and boot camps that are suitable for both students and professionals. The interactive projects and sessions on the courses keep students interested.
Additionally, they also provide free courses, the same content as the paid ones, and free material access for only 90 days.
Overview of Simplilearn Data Analytics Course
Simplilearn’s Professional Certificate Course in Data Analytics is an 11-month intensive that covers 6 modules including elective subjects. Simplilearn and the E&ICT academy at IIT Kanpur have collaborated to deliver this program.
Their efforts are focused on helping people acquire the skills they need to thrive in the digital economy. This online boot camp comprises live online classes from industry experts, projects, case studies, 24×7 support, and industry master classes delivered by IIT Kanpur faculty.
All of these services including 12+ hands-on projects and 3 case studies offers learners the best chance to succeed in the professional world.
IIM SKILLS vs. Simplilearn Data Analytics Course: Eligibility Criteria
IIM SKILLS
Simplilearn
A bachelor’s degree in any field
Basic expertise in computers and technology
It may be beneficial to have prior knowledge of mathematics and statistics, but it is not mandatory.
A bachelor’s degree with an average grade of at least 50% or more
No requirements for prior work experience
May have a background in programming or not
IIM SKILLS vs. Simplilearn Data Analytics Course: Duration of the Course
IIM SKILLS
Simplilearn
6 Months
11 Months
IIM SKILLS vs. Simplilearn Data Analytics Course: Mode of Learning
IIM SKILLS
Simplilearn
Live Online Classes
Every Saturday-Sunday
From 10 AM to 1 PM (IST)
Live Online Classes
Regular classes on Saturday-Sunday
From 7 PM to 11 PM (IST)
IIM SKILLS vs. Simplilearn Data Analytics Course: Fees of the Course
IIM SKILLS
Simplilearn
Rs.49,900 + taxes
Rs.19,900 + taxes (for any single module)
There’s a 100% money-back guarantee if you don’t like the course after the first session you can claim your money.
There’s a 10% discount for 3 or more enrolling.
Rs.1,15,050 (Inc. Taxes)
IIM SKILLS vs. Simplilearn Data Analytics Course: Best For
IIM SKILLS
Simplilearn
While ambitious professionals with an analytical mindset from various educational backgrounds can become the finest candidates for pursuing the data analytics course.
But IIM SKILLS thinks if you want to breakthrough in the profession through their data analytics course then everyone can take this including,
Fresh Graduates
UG/PG Students
IT Professionals
Banking and Finance Professionals
Sales Professionals
Marketing Managers
Supply Chain Network Managers
This course is designed for recent graduates in any field as well as working professionals with experience in both programming and non-programming.
This program is open to students with an analytical mindset from any educational background, including:
IT Professionals
Banking and Finance Experts
Marketing Managers
Engineers
Analysts
Consultants
Domain Specialist
Supply Chain Network Managers
IIM SKILLS vs. Simplilearn Data Analytics Course: Learning Materials and Access
IIM SKILLS
Simplilearn
Lifetime Access
One Year Access
You will get lifetime access to the pre-session study material, recorded lectures, and other learning resources through their Learning Management System (LMS).
There’s no limitation on the number of views and times.
They provide the learner unlimited access to their eLearning content on Simplilearn’s website for 1 year.
IIM SKILLS vs. Simplilearn Data Analytics Course: Curriculum
IIM SKILLS Course Curriculum
Modules
Topics Covered
1)
Data Analytics Using Advance Excel
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
2)
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA Works With Excel
Programming Constructs in VBA
Procedures and Functions in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating With Your Users
Others
3)
Data Analytics Using SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration Services
Other
4)
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keep and Remove Rows, Go to Columns, and Add, Remove
Data Analysis Expressions (DAX)
Reports Developments (Visuals in Power BI)
5)
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations With NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
6)
Data Analytics Using Python-II
Data Analysis Using Python
Basic Visualization Tools
Visualizing Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
7)
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries – I
Data Handling and Summaries – II
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
8)
R for Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing
9)
Data Analytics Using Alteryx
Data Analytics Using Alteryx
Simplilearn’s Course Curriculum
Modules
Topics Covered
1)
Business Analytics with Excel
Introduction to Business Analytics
Conditional Formatting and Important Functions
Analyzing Data with Pivot Tables
Dashboarding
Business Analytics with Excel
Data Analysis Using Statistics
Power BI
2)
SQL
Fundamental SQL Statements
Restore and Back-Up
Selection Commands: Filtering
Selection Commands: Ordering
Alias
Aggregate Commands
Group By Commands
Conditional Statement
Joins
Sub queries
Views and Index
String Functions
Mathematical Functions
Data and Time Functions
Pattern (String) Matching
User Access Control Functions
3)
Programming Foundation and Data Analytics with Python
Introduction to Programming
Programming Environment Setup
OOPs Concepts
Programming Fundamentals of Python
File Handling, Exception Handling, and Package Handling
Course Introduction
Data Analytics Overview
Statistical Computing
Mathematical Computing Using NumPy
Data Manipulation with Pandas
Data Visualization with Python
Intro to Model Building
4)
Data Analytics with R
Introduction to Business Analytics
Introduction to R Programming
Data Structure
Data Visualization
Statistics for Data Science I
Statistics for Data Science II
Regression Analysis
Classification
Clustering
Association
5)
Tableau Training
Getting Started with Tableau
Core Topics in Tableau
Creating Charts in Tableau
Working with Metadata
Filters in Tableau
Applying Analytics to the Worksheet
Dashboards in Tableau
Modification to Data Connections
Tableau Introduction and Level of Details (LODS)
6)
Electives:
Data Visualization Using Power BI
Data Analytics Master Class
IIM SKILLS vs. Simplilearn Data Analytics Course: Tools and Techniques Covered
IIM SKILLS
Simplilearn
Excel
NumPy
Power BI
Python
Tableau
Alteryx
Pandas
R
SQL
Excel
NumPy
Power BI
Python
SciPy
Scikit learn
Pandas
R
SQL
IIM SKILLS vs. Simplilearn Data Analytics Course: Certification
IIM SKILLS
Simplilearn
IIM SKILLS provides master certification and global accreditation which is government recognized.
It will serve as an indicator of skill development and help you boost your game in the data analytics field.
You will obtain a certificate of completion from E&ICT Academy, IIT Kanpur, after successfully completing this program with a high score.
Your proficiency in data analytics will be verified by this certificate.
IIM SKILLS vs. Simplilearn Data Analytics Course: Program Offerings
IIM SKILLS
Simplilearn
Free Demo
✓
×
Instructor Led Class
✓
✓
Industry Faculty
✓
✓
Anytime Anywhere Access
✓
✓
Master Classes
×
✓
Doubt Clearing Session
✓
✓
Learning Resources
✓
✓
24×7 Support
✓
✓
Money-back guarantee
✓
×
EMI Option
×
✓
Exam
✓
✓
Assignments
✓
✓
Live Projects
✓
✓
Capstone Projects
✓
✓
Certificate
✓
✓
Internship
✓
×
Career Support
✓
✓
Program Outcomes of IIM SKILLS Data Analytics Course
Know the fundamentals of statistics, such as correlation, central tendency, dispersion, and regression – be familiar with Excel at SQL terms such as commands and query universal tool.
Learn the Python language’s principles including the specific of lists, contributions, branching, sets, dictionaries, objects, and classes.
Use the ideas of variables, loops, conditions, functions, etc. to develop Python programs.
Explore how to write and read files in Python while dealing, storing, and loading data with Pandas.
Using NumPy’s multi-dimensional arrays, Scikit learns machine learning, and Pandas’ data frame management implementation.
Get a solid understanding of data interpretation in Python.
Using Python libraries to analyze the data analytics performance.
Have an extensive grasp of classification approaches, linear and non-linear regression models, and both for the data analysis work process.
Learn how to effectively use hierarchical techniques and clustering techniques including K-means, DBSCAN
Learn how to use Excel for Business Analytics
Learn about Microsoft Analytics and Power BI as a visualization tool.
Learn about the model and statistics in Tableau and hone your abilities to create interactive dashboards.
Acquire knowledge of visualization techniques including waterfall, heat maps, treemap, market basket analysis, and Pareto
Program Outcomes of Simplilearn’s Data Analytics Course
Understand the fundamental statistics and SQL concepts.
Implement the ideas of variables, strings, functions, loops, and conditional statements in your first Python program.
Recognize the complexity of Python’s dictionaries, conditions, sets, lists, objects, classes, and branching.
Utilize Pandas to load, process and save data as well as read and write files while dealing with data in Python.
Analyze data using well-known Python libraries.
Learn how to analyze data using Pandas’ Data Frames, Scikit Learn’s machine learning functions, the SciPy library of mathematical functions, and NumPy’s multidimensional arrays in Python.
Learn more about the Python data visualization libraries such as Matplotlib, Seaborn, and Folium
Learn the fundamentals of R in depth and develop your own R scripting skills.
Learn R programming and how to execute different statements in R.
Learn about the newest Power BI analytics and visualization capabilities from Microsoft.
Learn the Tableau basics, master Tableau statistics, and create interactive dashboards.
Learn how to use visualization tools including market basket analysis, waterfall, heat map, treemap, Pareto and Gantt charts.
Contact Information
Phone Number:
1800-212-7688
Ideal preparation for most entry-level positions in the sector is strong data analytics skills that both of these data analytics courses will provide you.
Through these certifications, it will indicate that you know how to handle each step of the data analysis process, including the creation of data visualization and mining, and everything in between.
IIM SKILLS vs. Simplilearn Data Analytics Course: FAQs
Q. How can I obtain data analytics certification?
You might enroll in one of the data analytics courses we have listed in the article, or you could carry out and hunt for another data analytics certification that is acknowledged in the field.
Make queries, register, learn, study, do assignments and projects, pass the examination, and get certified. There could be more phases along the way, depending upon the path you ultimately take, but that is the overall procedure you can expect.
Q. How much time does it take to earn a certification as a data analyst?
Generally, it might take as short as 4 months in a focused program or as long as 4 years in a university degree program to become a certified data analyst from the beginning. Depending upon how much you want to up skills, it might take you a few days or months to master new skills.
Though both of these courses will take 6 to 11 months for your certification.
Q. What kind of companies you can work for in the data analytics field?
The data analytics field is much diversified and you can work in related sectors such as,
Entertainment and Media
Health and Fitness
Logistics and Transport
Education
Finance
Marketing
Retail
IIM SKILLS vs. Simplilearn Data Analytics Course: Conclusion
That’s it. Two top data analytics courses from IIM SKILLS and Simplilearn are discussed in detail. We hope you were able to find something that satisfies your learning needs and your budget.
You can do more extensive background checks on the program such as reading unbiased ratings, and graduate testimonies and carefully analyzing the course material before making any decisions.
Then, decide the skills you will need to get for any ideal hiring managers, and we have provided contact details of both of the institutions to discuss any concerns you might have with an advisor.
Do you want to study data analytics but are unsure where to begin? Then, this article is for you. Data analytics careers have been highly popular in recent years due to the growing reliance on big data to drive business success. To put your feet in this industry, you need an excellent educational background and necessary skills. But, let’s say you don’t have a degree or have a degree in a completely unrelated profession. In that case, you can develop the necessary skills via different strategies, such as certificate programs or university courses. Here in this article, we have discussed the best IIM SKILLS vs. IIM Calcutta Data Analytics course that can help you grow in this industry.
What is Data Analytics?
Data Analytics is the science of transforming raw data to find insights and provide answers that can be used in many industries.
To collect, arrange, and evaluate insights that help companies make better decisions; it uses multivariate tools and techniques with a broad range of strategies with different objectives.
Numerous efforts may be supported by data analytics; you will have a clear understanding of where you are, where have you been, and where you want to go thanks to the combination of various data analytics components.
Businesses may increase marketing efforts, revenue, security, and operation efficiency via data analytics. Today’s technologies and methods for data analytics are widely available and essential for firms of all sizes from significant healthcare analytics to the small climate change community actions.
Function of Data Analytics
A solid understanding of the procedure for filtering and arranging disorganized data is essential if one is to have an in-depth practical understanding of what analytics is.
Data analytics is important in the following ways,
Even if every other sector is using this resource’s vast potential, data analytics can be important in the following ways:
More accurate information for trend analysis
More practical and customer-focused products
Promoting energy efficiency and sustainability
Effective marketing initiatives
Improvement of cyber security projects
Automating production processes
Business risk anticipation and reduction
Better insurance health and clever saving strategies
Development of advanced prediction algorithms and general public customized healthcare
After looking at what data analytics is and its function, let’s discuss some applications for it.
Better Customer Care
Data analytics enables you to customize customer care to their needs. Additionally, personalization is offered and client relations are strengthened.
Data analysis may disclose details about the preferences, issues, and more of your clients. You can make better suggestions for products and services thanks to data analytics.
Improved Decision Making
Data Analytics eliminates guesswork and manual work. Whether it be selecting the appropriate content, managing marketing initiatives, or creating products.
Decisions made by organizations can be based on the insight gained through data analytics that results in improved outcomes and satisfied clients.
Operations Efficiency
With the use of data analytics, you can optimize your procedures, reduce costs, and increase output.
By having a better grasp of what your audience wants, you can spend less time producing advertising and material that doesn’t appeal to them.
Effective Marketing
Data Analytics provides you with useful information on how your campaigns are performing. This helps in optimizing their performance.
Furthermore, you may discover potential clients who are most likely to engage with a campaign and turn into leads.
After knowing all of this information about data analytics, you can tell companies across all industries want experts who can gather data, evaluate it, and extract actionable, data-driven insights from it which can help them address major business problems. As a result, data analysis can become the most lucrative career in the future.
There are many ways to land your first job in this in-demand industry and there are multiple positions for data analysts available in a variety of sectors. Whether you are starting in this field or switching to a new line of field. You should begin by gaining basic information if you are new to data analysis.
While giving you job-ready skills, a general overview of data analytics might assist you in determining whether this career is a suitable match.
A degree in a relevant field, such as computer science, information technology, math, statistics, economics, finance, or corporate information systems is typically required for entry-level or advanced positions as a data analyst.
Due to the fact that it indicates a strong core understanding of essential mathematical concepts, many firms look for applicants with these backgrounds.
Gaining practical experience applicable to actual working conditions might be helped by a postgraduate degree or certification course.
We have chosen the best data analytics professional course from IIM SKILLS and the business analytics executive program from IIM Calcutta. Both of the analytics courses will give you an in-depth understanding and practical aspects of the industry.
So let’s see the course review of IIM SKILLS vs. IIM Calcutta Data Analytics Course in detail
About IIM SKILLS
IIM SKILLS is one of the top education platforms that provide skill-based course learning and was established by Mr.Vaibhav Kakkar in 2015.
IIM SKILLS makes it simple for newbies to comprehend each subject clearly by breaking down difficult ideas into an easy practical manner.
All of their courses are informative and inspiring which will undoubtedly surpass your expectations and match your requirements with affordable prices.
In-demand fields such as finance, marketing, analytics, writing, and competitive exam coaching will assist you in upskilling your profession in a few months through their live online and self-paced learning methods.
Overview of Data Analytics Masters Course
In order to grasp an in-depth knowledge of data analytics, IIM SKILLS provides a 6-month rigorous data analytics master course that consists of 160 hours of instructor-led live online training and 100+ hours of practical assignments. You can even get lifetime access to the learning management system (LMS).
The course is beginner-friendly and doesn’t require any prior experience. Their extensive course curriculum with 9 modules is suitable for both beginners and professionals that will take you from basic to advanced level. To help you get the practical aspects of industry you will work on 10+ case studies and 7+ live projects. Even Throughout the course, you will master 7+ tools. You can also choose a single module as per your requirements.
After successful completion of the course, they provide a 100% assured internship of 2 months. That will help you become ready for the industry and add-on experience.
About IIM Calcutta
In partnership with MIT’s Alfred P. Sloan School of Management, the West Bengal Government, The Ford Foundation, and Indian Business all worked together to establish the Indian Institute of Management Calcutta (IIMC). It was India’s first national institute for postgraduate studies and management research, in November 1961.
Providing top-notch management education, IIMC has developed through time with a global reputation. Through its doctoral and post-doctoral degrees, executive training programs, research, and consulting activities, it has been a pioneer in the professionalization of Indian management,
The institution now performs its functions as a self-governing entity, constantly adapting to achieve its objectives in a commercial context that is always changing.
Overview of Business Analytics Program
This in-depth executive program includes 12+ modules that will help today’s managers in setting a strong foundation in business analytics. The method of teaching will be highly interactive and make use of a variety of practical tools and approaches, including lectures, real-world case studies, quizzes, assignments, and examinations. In between and the end of the program, there will be two 5-day campus immersion modules which are mandatory for participants for successful completion of the program.
This Executive Program of Business Analytics covers all the facets of business, marketing, finance, and operations and provides you with a solid broad instruction in data science.
It is not a specialization course but it will expose you to a wide range of data science concepts as well as how business choices can be influenced by analytics.
Eligibility Criteria:
IIM SKILLS
IIM Calcutta
An undergraduate degree in any field.
Basic expertise in computers and technology.
Having prior expertise in statistics and mathematics will be an added advantage, but it is not mandatory.
At least graduation or post-graduation with a minimum 50% point.
Participant should have 2 years of work experience.
IIMC will conduct the examination and selection.
Admission Process:
IIM SKILLS
IIM Calcutta
You can simply become part of this course by registration.
You can successfully enroll in this course by filling out registration details such as name, email id, and phone number followed by fee payment.
If a candidate meets the qualifying requirements, the assessment of their educational background, professional experience, and statement of purpose will be considered to make the final admission decision.
Mode of Learning:
IIM SKILLS
IIM Calcutta
Online
Online
Learning Resources:
IIM SKILLS
IIM Calcutta
IIM SKILLS comprehensive learning management system offers a library of pre-session readings, recording of sessions, and other reference materials to help you progress step by step.
You can even track your progress and obtain additional materials in LMS.
There is no limit or restriction on the amount of views.
The majority of book and reading material delivery occurs during campus visits.
The online learning management system is also used often to distribute pre and post-session reading materials.
Course Duration:
IIM SKILLS
IIM Calcutta
6 Months
12 Months
Classes are taught on Every Saturday – Sunday
From 10 AM to 1 PM
Classes will be held on Sundays
From 9 AM to 12 PM
Course Fees:
IIM SKILLS
IIM Calcutta
Rs.49,900 + 18% GST or
Rs.19,900 + Taxes for Any Single Modules
You can also get a 100% Money back guarantee after the first session if you do not like the course.
There is also a 10% group discount on 3 or more registrations.
Registration Fees: Rs.10,200
Processing Fees: Rs.20,000
Total Fees: Rs.5,50,000 + Taxes
IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Aims and Objectives:
IIM SKILLS
IIM Calcutta
To acquire learners with the fundamentals of data analysis, types of analysis, data mining, and many more,
To prepare students to do data pulling, cleaning, manipulating, and analyzing business analytics jobs
To deepen your knowledge of Excel, Power BI, and Tableau as data analytics tools and how to use them
Using Python as an alternative to handle datasets and spreadsheets
To have an in-depth understanding of statistical data analysis, which supports corporate decision-making
Excellent executive education in business analytics is offered through the program
Participants’ managerial and leadership skills will be improved.
IIM SKILLS vs. IIM Calcutta Data Analytics Course Curriculum:
IIM SKILLS Core Modules
Subject Covered
Module 1:
Data Analytics Using Basics and Advanced Excel
Introduction to Data Handling
Data Visualization in Excel
Data Analysis and Reporting
Data Manipulation Using Functions
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
Module 2:
Data Analytics Using Visual Basic Application (VBA)
Introducing VBA
How VBA Works With Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions and Procedures in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating with Your Users
Others
Module 3:
Data Analytics Using SQL
Basics RMDMS Concepts
Utilizing the Object Explorer
Data Based Object Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
Other
Module 4:
Data Analytics Using Power BI
Introduction
Data Preparation and Modeling
Go to Columns and Add, Remove, and Keep Rows
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5:
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations Introduction to Analytics and Data Science
Python Essentials
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Module 6:
Data Analytics Using Python-II
Data Analysis Using Python
Basic Visualization Tools
Visualizing Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Module 7:
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries-I
Data Handling and Summaries-II
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
Module 8:
R for Data Science
Data Importing/ Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing
Module 9:
Alteryx
Data Analytics Using Alteryx
Tools Covered by IIM SKILLS
Excel
Python
Power BI
SQL
Tableau
Alteryx
R
IIM Calcutta Modules
Subject Covered
Module 1:
Machine Learning
Module 2:
Advanced Topics in Analytics: Big Data, Cloud Computing
Module 3:
Data Mining Applications in Python
Module 4:
Business Analytics and Competitive Advantage
Module 5:
Data Visualization and Descriptive Analytics
Module 6:
Supervised and Unsupervised Learning
Module 7:
Deep Learning Business Applications
Module 8:
Statistics and Mathematics for Business Analytics
Module 9:
Financial Analytics
Module 10:
Marketing Analytics
Module 11:
Operational Analytics
Module 12:
Analytics in Networked Platforms
Module 13:
Responsible AI and Ethics in Analytics
Module 14:
Cyber Analytics
IIM SKILLS vs. IIM Calcutta Data Analytics Course’s Ideal Audience:
IIM SKILLS
IIM Calcutta
The data analytics course is appropriate for you if you work in one of these fields:
Fresher
UG/PG Students
IT Specialist
Banking and Finance Experts
Marketing Executives
Sales Professionals
Supply Chain Network Manager
Professionals who want to switch their career to analytics or to enhance their data-based ability and analytical skills
Experts who are sufficiently knowledgeable in high-school mathematics
Certification
IIM SKILLS
IIM Calcutta
You will earn a Master Certification from IIM SKILLS which is government-approved and worldwide recognized. You can use it as an assessment of your skills development in the field of data analysis.
Those who successfully complete the program will get a certification of successful completion from IIM Calcutta.
The certificate will also include obtained course-wise grades.
Learning Outcomes of IIM SKILLS
Recognize principles related to Excel and SQL, such as query and command tools, and statistical terms including correlation, central tendency, dispersion, and regression
Learn the complex details of Python concepts such as lists, contributions, branching, dictionaries, sets, objects, and classes.
Discover how to write Python programs utilizing the concepts of conditions, variables, loops, functions, etc.
Get familiar with using Pandas to load and save data while learning how to read and write files in Python.
You will gain an extensive grasp of data interpretation in Python by utilizing Pandas’ data frame management, Scikit Learn’s machine learning application, and NumPy’s multi-dimensional arrays.
Analyze the performance of data analytics using Python Libraries.
Understanding of classification techniques and linear and non-linear regression models for use in data analytics.
Become proficient in Excel for business analytics.
Learn how to apply clustering methods like K means, DBSCAN, and hierarchical clustering.
Become familiar with Visualization tools (Power BI) and Microsoft’s analytics.
Learn about visualization techniques including waterfall visualization, heat maps, market basket analysis, and Pareto analysis.
Learn about the model and statistics of Tableau and hone your skills to make interactive dashboards.
IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skills development at affordable prices.
Since 2015, more than 35,000 people have found IIM SKILLS to be an ideal platform to launch, start or enhance their career.
An increasing number of skill-oriented professions are being created as worldwide opportunities expand significantly.
IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field in order to bring to the front and center these new and advanced skills.
The professionalism that IIM SKILLS promotes in their data analytics master course is outstanding. You may fully profit from the course thanks to the up-to-date content, student-centered pedagogy, expert faculty, and 24×7 support.
Recognize and use business analytics principles and models
Able to analyze, synthesizing, and solving unstructured business data especially
In corporate contexts, recognize, model and resolve decision-based issues
Interpret the finding to choose the best course of action
Develop a passion for creativity and business improvement
Why choose IIM Calcutta?
One of the top business schools in the Asia Pacific Area and one of India’s top three business schools is the Indian Institute of Management Calcutta.
The goal of IIM Calcutta is to become a premier international center for management education is is now a real melting pot of brilliance, with some of the top mentors and students.
The course will give students the chance to study in culturally different environments, preparing them to function as truly global managers.
Frequently Asked Questions on IIM SKILLS vs. IIM Calcutta Data Analytics Course
Q. Is data analytics and business analytics the same?
Both business analysts and data analysts use data. Both of them help their firm to make data-driven decisions. Business analysts often spend more time addressing business issues and making recommendations, whereas data analysts typically spend more time working with the data itself.
Q. Can a fresher obtain one of these courses?
Anyone can obtain the required skills and education from both of these institutions to work in the data analytics industry. However, there are some eligibility criteria you need to follow before enrolling.
Q. Does data analytics have a bright future?
The constantly changing data and its worthwhile conclusion indicate a promising future. This suggests that more businesses are willing to employ qualified data analysts. For people looking for a stable job, and excellent incomes in the expanding industry, there are unlimited opportunities.
Q. Can I get a data analytics job after the course?
Yes, both of the courses provide placement support. You can increase your chances of getting a job as a data analyst by gaining experience through case studies, internships, live projects, and certification.
Concluding thoughts on IIM SKILLS vs. IIM Calcutta Data Analytics Course
Both of the courses listed above from IIM SKILLS and IIM Calcutta give a certificate and placement which is a great method to prove to yourself that you finished the course and gained an in-depth understanding of the subject.
Whichever course you pick, both of these courses will give you a solid education and essential skills required in the industry. If you have any inquiries regarding courses you can connect the institution directly through contact details.
The end goal for any business is to earn profit. So, to earn a profit, one has to make proper business decisions that lead to success. One of the major decisions in business is financial decisions. Investment Banking helps organizations in getting capital funding and making financial decisions beneficial for the company. Investment banks also help in the merger, acquisition, & underwriting of organizations. Before beginning with the top 6 institutes offering investment banking courses in London, let us understand what investment banking is, its types, and the importance of investment banking.
What is Investment Banking?
Investment banking is a division of the financial industry that provides a range of services like issuing securities (such as stocks, and bonds), strategic financial advice to companies, underwriting, capital raising, asset management, risk management, Merger & Acquisitions to corporations, governments, and other institutions.
Investment Banking is a type of banking that provides financial services to governments, organizations, corporations, and large institutions. They manage the corporation’s IPO and give advice to various companies regarding mergers, acquisitions, or reorganizations.
They act as the median between the ones looking for capital and those who are looking to invest their money. Investment Banks help other banks and organizations in large and complicated financial transactions.
Businesses and institutions seek advice from investment banks relating to how to plan their finances, from where to seek funds, advice relating to mergers, acquisition or reorganization, issuing of stocks, and sale of securities.
Some of the biggest investment banks are Goldman Sachs, Morgan Stanley, JP Morgan Chase, Bank of America, Citigroup, Barclays Investment Bank, Merrill Lynch, and Deutsche Bank.
Let us understand investment banking and its roles through an example
Suppose Rayon Fabrics (an MNC Company dealing with all types of fabrics) approaches an investment bank to assist them with their IPO process. Firstly, the investment bank’s researcher and analyst team does the financial analysis of Rayon Fabrics.
They will assess its business model, financials, market position, growth prospects, and competitive landscape. Based on their analysis, they determine the appropriate valuation for the company.
The investment bank then advises Rayon Fabrics on the optimal capital structure and share offering size. They also help the company determine the initial offer price for its shares.
They ensure that the IPO complies with all the relevant securities laws and regulations. Then they will work with the company’s legal team to prepare the necessary documentation and filings with the appropriate regulatory authorities.
The Bulge Bracket Banks are the largest in terms of size and in terms of handling the biggest corporate clients and largest deals. The majority of clients belong to the Fortune 500 or at least on the list of Fortune 100.
Bulge Bracket Banks works globally, they have a presence in the domestic market as well as the international market. They provide their clients with all the financial services including asset management, equity research and issuance, M&A Services, business asset management, underwriting, and every service included in the finance sector.
These banks also have retail and commercial sectors to gain additional revenue by cross-selling financial products. Some of the famous Bulge Bracket banks are Bank of America, Merrill Lynch, Goldman Sachs, Credit Suisse, and JPMorgan Chase.
Boutiques
Boutique investment banks are sub-categorized into two types: Regional Boutique Banks and Elite Boutique Banks.
· Regional Boutique Banks
Regional Boutique Banks are the smallest investment banks in terms of firm size and deal size. These banks specialize in a particular area and work in that field only. They handle smaller deals ranging from $50 million or less up to $100 million.
They work for smaller firms and organizations and their offices are also in specific regions only. Some of the famous Regional Boutique Banks are SunTrust, Wedbush Securities, KeyCorp, Piper Jaffray, and Duff & Phelps.
· Elite Boutique Firms
Elite Boutique Banks resemble Bulge Bracket banks in terms of dollar value which is over $1 billion. They handle smaller deals as well. However, they do not provide all the investment banking services like Bulge Bracket banks and limit their services to handling M&A-related issues.
Their presence is global like Bulge Bracket banks. Most elite boutique banks start as regional boutique banks and through handling bigger and larger deals with prestigious clients they turn up into Elite Boutique banks. Some of the famous Elite Boutique Banks are Lazar LLC, Moelis & Company, and Evercore Group LLC.
Middle-Market investment banks, as the name suggests are in the middle between smaller regional investment banks and bulge bracket banks. They work on deals ranging from about $50 million up to around $500 million.
As the name suggests they are in the middle ground geographically, having a larger scale than regional banks and a smaller scale than bulge bracket banks.
They provide the same services as Bulge Bracket Banks but their geographic pace is smaller. Some of the famous middle-market banks are Cowen Group, William Blair & Co., and Lincoln International. The Investment Banking sector is in high demand and investment bankers are paid extensively high based on their roles and designations.
How Much Does an Investment Banker Earn?
Here is the list of the Top 10 investment banks paying the highest salary ranked by Pay
Centerview- $220,000
Evercore- $210,000
Lazard- $205,000
Rothschild- $198,000
Guggenheim- $190,000
Bank of America-$186,000
Citi- $180,000
Goldman Sachs- $178,000
P.Morgan- $175,000
Morgan Stanley- $170,000
These are the annual salaries of first-year investment analysts including bonuses. Fascinating isn’t it?
Many more reasons to join Investment Banking Courses in London.
Now let us see the Salary structure of an Investment Banker in various positions:
Position
Base Salary
All-In Compensation
1st Year Analyst
£60,000 is the standard
Some give a signing bonus of up to £5,000
£95,000 to £105,000
2nd Year Analyst
£65,000
£100,000 to £125,000
3rd Year Analyst
£70,000
£125,000 to £145,000
Associate
£120,000 to £220,000
£1,95,000
Vice President
£250,000 to £350,000
£3,92,000
Managing Director
£1.1 Million or above
£782,000
Source: wallstreetprep.com
The UK and Europe have been the financial capital cities globally for a long time. They are considered the hub for finance. As investment banking is a huge part of the finance sector and financial institutions there are tremendous scopes for Investment Banker in London. So, Investment Banking Courses in London are high in demand as they offer a decent pay scale to sustain a good life.
Looking for practical-oriented courses with placement? Dig in here:
Top 6 Institutions Offering Investment Banking Courses in London
1. IIM SKILLS
IIM SKILLS has been serving the best training and educational courses to students since 2015. They have trained more than 35000 students across the globe with expert faculties having experience of more than 12 years in their specialized fields.
The courses offered at IIM SKILLS are as follows:
Digital Marketing Master Course
Data Analytics Master Course
Content Writing Master Course
Advanced SEO Course
Financial Modelling Master Course
Investment Banking Master Course
Technical Writing Master Course
GST Practitioner Certification course
Business Accounting & Taxation Course
IIM SKILLS is one of the leading institutes providing Certified Investment Banking Courses in London. Their course structure is entirely based on the latest industry concepts and practices.
Their Investment Banking Master Course Certificate is recognized by the MSME Government of India. They customize courses based on the geographic location of the student. So, any student located anywhere in the globe can learn Investment Banking from IIM SKILLS.
DataTrained is an ed-tech company providing various institutional courses and programs in fields like Data Analytics, Data Science, Investment Banking, Artificial Intelligence, Financial Modelling, Machine Learning, Digital Marketing, and many more.
DataTrained offers Investment Banking Courses in London as a PG Program in Investment Banking and Financial Modelling.
Here you will learn about the most in-demand investment tools, financial technologies, and various approaches to becoming a successful investment banker.
Key Features:
Globally recognized certificate
Weekend classes for the working professionals and weekly classes for the rest
Learning job-relevant skills
8 live case studies and projects assigned
100% career assistance
Classes are taken by trained industry experts
Profile building and interview preparation based on industry standards
Course Structure:
Module 1- Basics of Finance
Module 2- Introduction to Financial Statement
Module 3- Basics of Economics
Module 4- Introduction to Investment Banking
Module 5- Introduction to Financial Modelling and Valuation
Module 6- Basic to Advanced Excel
Module 7- Microsoft PowerPoint
Module 8- Discounted Cash Flow Valuation
Module 9- Cost of Capital
Module 10- Relative Valuation
Module 11- Start-up Valuation
Module 12- Merger & Acquisition
Module 13- Financial Management of Start-Ups
Their top placement partners are Yes Bank, RBS, Axis Bank, Accenture, Infosys, Bank of America, aureus, cognizer, Redington
Duration of the course: 6 Months
Course Fee: £3800
Contact Details:
Phone: +919560084091
Mail: admissions@datatrained.com
Looking for other in-demand courses for career development? Dig in here:
IMARTICUS was started in 2012 and currently, they have trained 10,00,000+ students, they have tie-ups with more than 500+ companies and their placement record is 85%.
The Certified Investment Banking Operations Course at IMARTICUS Learning is for learners with 0-3 years of experience in the finance, commerce, or business fields.
This course will help you transform your career into an investment banking expert or analyst. IMARTICUS investment Banking courses in London help you understand the fundamentals of finance, trade market, trade life-cycle, and risk management.
Key Features:
Extensive career support by taking mock interviews and building resumes.
A certificate recognized by top industries
Learning Job-Specific Skills
Live training by expert faculties
Learning with live projects and solving business problems and case studies designed by expert industry partners
Job Guarantee with full-fledged interview preparations
Course Structure:
Module 1: Introduction to Financial Markets
· Introduction to Investment Banking
· Cash Equities and Fixed Income
· Foreign Exchange and Money Markets
· Derivatives Market
· Job Readiness
Module 2: Trade Life Cycle
· Reference Data Management
· Corporate Actions
· Asset Management
· Reconciliation
· Introduction to ISDA
· Stock, Borrow & Lending
· Collateral Management
· Trade Life Cycle
Module 3: Risk Management
· Risk Management & Regulatory Environment
· Anti-Money Laundering & KYC
· Job Readiness
Duration of the course: 2 months for the weekday batch and 3 months for the weekend batch.
Course Fee: £1328
Contact details:
Phone: +919319746164
Email: info@imarticus.com
It can be paid in two installments
The Certified Investment Banking Course Operation at IMARTICUS is internationally recognized and accredited by CISI. The top recruiting companies at IMARTICUS are Goldman Sachs, RBS, Capgemini, TESCO, TCS, HSBC, KPMG, and UBS.
Is finance your niche? Here are the best courses for you:
The Queen Mary University of London was established by great charitable institutions of London’s East End in 1785. At QMUL you will find students from across many countries globally. QMUL is an established name in the fields of economics, finance, business studies, and various business master courses.
QMUL Investment Banking Courses in London include the study of commercial and investment banking, financial derivatives, risk management, asset management, trading, and mergers & acquisitions.
Investment Banking Courses in London Key Features:
Computer labs with the latest trading software
Learning from visiting city professors and research special experts
Comprehensive learning in the financial sector
Option to choose from a wide range of subjects based on your interest area
One-on-one support with job applications, interviews, and internships
Campus Accommodation for International Students Staying there
Course Structure:
The course structure is as follows:
6 compulsory modules + 5 elective modules+ research project of 2500 words
6 compulsory modules+ 3 elective modules+ dissertation of 7000 words
Compulsory Modules are:
Mergers and Acquisitions
Dissertation
Financial Modelling in Excel
Practical Valuation
Primary Markets and Securities
Leadership, Strategy, and Management of Investment Banking
Foundations of Corporate Finance
Research Project
Elective Modules are:
Financial Derivatives
International Finance
Behavioural Finance
Risk Management for Banking
Asset Management
Principles of Accounting
Bond Market Strategies
Applied Wealth Management
Credit Ratings
Portfolio Construction Theory
Strategic Asset Allocation
Real Estate Finance
Empirical Finance
Private Equity and Venture Capital
Interest Rate Derivatives
Big Data Applications for Finance
Financial Engineering
Statistical Machine Learning in Finance
Fintech
Climate Finance
ESG Investing
Financial Data Analytics
R for Finance
Entry Requirements for Applying:
Degree of graduation in any subject
English Language Proficiency Certificate
Certificate of passing IELTS or other examining institute as per the country
Approved Visas and Immigration
Duration of the course: 1 year
Course Fee: Home-£20,850
Overseas-£28,950
Contact Details:
Phone: +44(0)2078825555
Email: studentrecruitment@qmul.ac.uk
5. University of Hertfordshire
UH has more than 30000 students studying from over 140 countries with high-quality and expert teaching faculties. They have more than 550 career-focused degree options to choose from.
UH’s MSC in Finance and Investment Banking course provides comprehensive and coherent learning in various financial sectors with practical exposure. Their Investment Banking Courses in London include group seminars, web-based resources, statistical software, and working experience to enhance job profiles.
Key Features:
Fast-track option available to complete the course in one academic year than the regular two-year course
Two years complete course includes advanced research and work placement opportunities
Great industry connections with top companies
Providing IT analytical skills to get theoretical and practical exposure
The course structure is as per the standards of the Chartered Financial Analyst Institute(CFA)
Course Structure:
Module 1: Financial Statement Analysis 1
Module 2: Financial Statement Analysis 2
Module 3: Quantitative Analysis
Module 4: Financial Data Analysis
Module 5: Asset Valuation
Module 6: Financial Markets and Institutions
Module7: Economics, Finance, and Banking
Module 8: Dissertation(Msc FIB)
Module 9: Research Methods Msc FIB
Entry Requirements:
Honors Degree (2:2 or equivalent) in the field of economics, banking, finance, engineering, accounting, or mathematics
A professional degree like ACCA, CIMA, CIPFA, CFA, ICAEW, and ICS is given priority
English Language proficiency certificate with an IELTS score of 6.5
Duration of the course: 1 year (Full-Time)
2 years (Part-Time)- Academics+ Working
Course Fee: Full-time -£15450
Part-time -£1290 per 15 credits
Contact Details:
Phone: +44(0)1707284800
Email: ask@herts.ac.uk
6. Bayes Business School
If you are planning to make a successful career in the finance sector their Investment Banking Courses in London is specifically designed for you. Bayes Business School provides practical and strategic learning with the assistance of senior bankers and finance professionals.
Key Features:
Learn from the world’s largest and most highly respected finance professionals
Work experience with academic banking fields.
They have a center for Banking Research where they host seminars, workshops, and events with industry partners.
Course Structure:
Terms
Core Modules
Elective Modules
Term 1
· Global Banking
· Financial Statement Analysis
· Principles of Finance and Valuation
· Data Analytics for Banking and Finance
· Research Methods in Modern Finance
Term 2 ( you have to choose 2 core and 2 elective modules)
· Bank Risk Management
· International Finance
· Corporate Finance
· Fixed Income
· Alternative Investment
· Topics in M&A
Term 3
· Business Research Project and one elective
· Applied Research Project and 3 electives
· Five Electives
· Behavioural Finance
· Ethics, Society, and the Finance Sector
· Financial Crime
· Financial Statement Analysis
· Hedge Funds
· Investment Banking in Corporate Finance
· Mergers & Acquisitions
· Private Equity Investment
· Trading and Market Microstructure.
Bayes Business School’s MSC in Banking and International Finance is recognized by the Chartered Bankers Institute (CBI) and the Institute of Chartered Accountants in England and Wales(ICAEW).
Duration of the course: 1 year
Course Fee: £31,700
Contact Details:
Phone: +44(0)2070408877
Email: bayes-mastera@city.ac.uk
These are the Top 6 institutes providing Investment Banking Courses in London.
Frequently Asked Questions (FAQ) About Investment Banking Courses in London
What are the qualifications required before joining Investment Banking Courses in London?
A bachelor’s degree in finance, economics, accounting, or business is required primarily to join any postgraduate or master’s course in Investment Banking. A keen interest in the finance sector helps you learn the course with full enthusiasm and zeal.
Is Investment Banking a Good Career Option in the UK?
The UK is considered the financial capital city of the world. So, there are ample opportunities for an investment banker in the UK. The top investment banks like JP Morgan, Morgan Stanley, and Goldman Sachs pay an excellent salary to their investment bankers. The average salary of an investment analyst is £30,000 to £40,000 and it increases in millions as per experience and work designations. Also, not just in terms of pay-scale investment banking is a rapidly growing sector in today’s time.
What are the job opportunities available after completing Investment Banking Courses in London?
As an investment banker, you can work as an Investment Banking Associate, Investment Banking Analyst, Investment Banking Trainer, Internal Audit Associate, Executive Financial Assistant, Investment Administrator, Managing Director, Vice-President, and M&A Analyst in any investment bank as per your skills and experience.
In this digital world, the ability to create data-driven decisions and create strategy informed by analysis is central to successful leadership in any industry. Data analytics for business is an integral part because it allows leadership to make evidence-based strategies and goals, understand customers to better target marketing initiatives, and increase overall productivity and revenue enhancement. This listicle article is a complete guide on data analytics and how it is important, for usage in today’s businesses.
In today’s scenario, Industries all over the globe are mostly looking at leveraging Data Analytics (DA) to strengthen business performance. As per the report from Forbes, data drive companies are 23 times more inclined to acquire the right customers and almost 20 times more likely to be profitable.
A number of advanced data techniques are used to extract data and analyze patterns and trends that bough up practical views, inform further research, or decide on the best business goals and strategies. Huge data techniques handle complex systems or software that can increase automation processes with machine learning and algorithms and various other modes.
In today’s scenario diversity of industries is attaining competitive advantages from data analysis and science, and data analytics for business processes is more accessible than ever before. Organization can know their customer profiles, interests, and habits better.
The pivotal data is used to inform business decisions that enhance profits and customize user or individual experiences to gain efficiency and loyalty. So the need for data analytics has also arisen.
The types of data analytics are huge, but they fall under four major categories: descriptive, diagnostic, predictive, and prescriptive.
Descriptive Analytics
Descriptive analytics aims at what happened in the past. It doesn’t look forward, it provides a comprehensive picture of how particular events unfolded. The main motive of Descriptive analytics is to understand what happened and why.
Some common examples include:
Sales performance: If managers want to know how daily sales exceed a certain amount or how many units each employee has sold this month. Data analytics will help them to understand.
Dashboard reporting: Nowadays e-commerce companies use dashboards for present updates on page views, unique visitors, and user sessions across their different properties worldwide.
Fraud detection: Credit card companies regularly monitor transactions for suspicious activity that may hint at credit card fraud.
Product demand forecasts: Retailers use historical sales data to predict how much inventory will be required in the future.
Diagnostic analytics
Diagnostic analytics look for answers to why an issue occurred by viewing the factors that led to an event. This type of analysis help companies understand not only what occurred but also why it took place and how they can prevent it from happening again.
Familiar examples of diagnostic analytics are:
Root cause analysis. Root cause analysis is a process used analytically to identify the underlying causes of negative events, such as defects in manufacturing/production. So various methods are in big data that are made to tackle such situations in the workplace.
Retrospective analysis: Retrospective analysis involves inspecting historical data to determine why certain incidents happened. Like root cause analysis, it can identify potential risks and prevent future events.
Drill-down: Drill-down refers to operating through layers of findings to determine the underlying reasons for an event or situation.
Regression analysis: Regression involves using binary methods to identify trends and relationships between variables to make predictions about future outcomes.
Predictive analytics take charge of existing data to check future outcomes or trends. Organizations often use these analytics when developing new products or services because they give an idea of what consumers will want in the future based on their past behavior.
Examples of Predictive analytics:
Direct Marketing: Predictive Analytics determine which prospective customers are likely to respond to a marketing campaign and this will help companies to determine its likable customers who will buy their products, services, or any information.
Customer Pricing: To analyze the optimal price for a product or service based on primary demand. Big data helps companies to know the right prices and what costs are involved in it to make that product.
Retail Sales Forecasting – Precisely forecasting demand for products at the SKU-store level multiple times for ordering inventory, managing out-of-stocks, determining markdown targets, and managing the supply chain.
Prescriptive analytics
The prescriptive analysis takes past trends and data to recommend future actions. This type of data analysis is most helpful in maximizing resources and identifying new opportunities, such as expansion. Prescriptive analytics is used to make decisions or provide recommendations that allow others to make better and quick decisions.
For instance, a prescriptive model could recommend whether companies should:
Start a new product segment, or end an existing one.
Setting up a new manufacturing setup, or closing an existing one.
Place a bid on a Fortune future project, and if bid, then at what price?
Hire more people in the sales department if predicts the supply will increase in the future or if any new product development.
Send a targeted ad to a particular customer, to drive sales high
Data analytics is the process of making data presentable to key persons. It starts with data collection, finding patterns, and using those patterns to make predictions. These predictions can be used to set goals or make any decision.
For instance, in sales, you may use data analytics to predict how many particular products are to be sold in the next month. Knowing that number will help you to mark goals for your team and plan stocks and inventory levels. To start with, we collect data and put it into a database.
We then organize the data by finding patterns within it (this is called cleaning and organizing). Furthermore, we look for connections between patterns and develop and introduce a model that explains these relationships (this is called modeling).
Once get the model that works well enough for the business, we can now use it to make predictions (this is called testing). These predictions are communicated to decision-makers in the form of reports and findings.
The Data Analytics Process Takes Place in 4 Stages:
Data collection
Data can be collected from customer surveys, sales receipts, social media comments, and company websites. Data collection is fetched mostly from customer surveys, sales receipts, social media comments, and company websites.
Data integration platforms can merge and centralize business data with the help of a data pipeline to ease access, management, and business intelligence.
Data organization and analysis
Once all information has been gathered from various modes, now it must be arranged to make it simpler to interpret and evaluate. These Data can be arranged manually or through various software programs that store the information in databases.
Model development, testing, and deployment
The next stage is to build a model that fits the data set using various methods. These models are then tested and deployed if they meet the accurate criteria (e.g., accuracy over 95%).
Communicating results to decision-makers
This step involves bestowing the findings to company key persons or other leaders to use insights to make better choices related to products, services, sales-marketing strategies, and other business areas.
Data analytics of business aims to help industries in every aspect from concentrating a marketing tone for an individual customer to prospecting and easing risks to its business. We have brought 5 amazing benefits of using data analytics.
1. Personalize the Customer Experience by Having Data Analytics for Business
Organizations source customer data from different sources like offline retail, e-commerce, and social media. By using data analytics to create personalized customer profiles from this data, business houses receive customer insight and behavior so can provide more personalized experiences to their customers.
For instance- A retail clothing store that has both offline and online presence. This Company can analyze its sales data together with the data received from its social media pages and create targeted online campaigns through its social media to promote its online sales for those products that customers are already interested in.
For personalized experiences, the organization uses behavioral analytics models on these data. For example, a business runs a predictive model on e-commerce transaction data to examine products and services to suggest at checkout to increase sales.
2. Inform Business Decision-making in Data Analytics for Business
Industries use DA to guide organizational decisions and reduce financial losses. Predictive analytics suggest what could happen in response to any changes to the business and prescriptive analytics highlight how the business should overcome these changes.
Suppose, a business model changes as per the pricing or product offering to analyze how those changes will affect customer demand. Any change in product or service offerings can be A/B tested to rectify the hypothesis produced by those models.
Collecting sales data on the new changes products or services the enterprises can use data analytics tools to examine the success of the changes and visualize the result to help decision makers to choose and roll. on the changes across the business.
Business houses can improve production efficiency with data analytics. Collecting and analyzing data about the supply chain shows where production slows down or bottlenecks come from and can predict where future issues or problems may arise.
For Instance, if a demand forecast shows that a particular vendor won’t be able to handle the mass volume required for the holiday and festival season, an enterprise could supplement or replace the particular vendor to avoid production delays. However, many businesses — dominating in retail — struggle to manage their inventory levels.
4. Mitigate Risk and Handle Setbacks Through the Help of Data Analytics for Business.
Risks are part of the business. Whether it’s employee theft or customer-related, uncollected receivables, employee safety, and legal liability. Data analytics can support an organization to understand risks and take corrective measures.
Let’s take an example, a retail chain could use the propensity model — a statistical model that helps in predicting further actions or event prediction — to understand which stores are at the highest risk for theft.
The business can use this data to identify the amount of security needed at the stores, or even whether it should divest from any locations to avoid any future losses.
5. Enhance Security
All businesses can have data security threats. Data analytics is used to diagnose the actual cause of past data errors by processing and evaluating accurate data. For instance, the IT team can take the help of DA applications to parse, process, and present their audit logs to determine the course and actual origin of an attack. This information can help the IT department to locate vulnerabilities and patch them.
The use of data analytics for business is becoming a need. Here is a look at some major data analytics use cases adopted in various functions.
1. Data Analytics Use Cases In The Sales And Marketing Department
Sales & Marketing are the most popular domains where companies have implemented data analytic use cases. Both domains benefit from the use of data in different ways:
With the help of data analytics, marketing specialists can now able to make more apt decisions. They collect data from different modes like social media, email communication, and other online platforms or offline receipts to communicate with their customers to know their needs and choices better. The marketing manager then refines the collected data to improve the marketing strategy to improve sales.
Data analytics for business can help sales specialists also to sell more effectively. For instance, with the help of DA, salespeople can understand which products or offerings are most demanded by particular target groups and focus on selling them to increase their performance level.
2. Data Analytics Use Cases In Supply Change Management And Operations Domain
Organizations with supply change or operations can benefit from data analytics. Let us suppose, a company manufactures gadgets, and those gadgets require parts made by suppliers, then the company wants to anticipate when inventory is getting low so that they don’t run out of parts before they deliver. Data analytics helps to optimize production schedules.
Data analytics for business use cases in operations and supply chain management:
Supplier selection and performance evaluation: Using machine learning algorithms, supplier selection processes can be highly improved.
Predictive maintenance: Predictive maintenance predicts failures before they occur the techniques enable companies to collect and analyze data from sensors to understand the state of equipment better.
Location enhancement: Companies use location-based analytics solutions such as GIS (geographic information systems) to determine optimal locations for warehouses and factories.
3. Data Analytics Use Cases In Human Resources
The use cases for business are many, but HR analytics have ample opportunities to work in human resources.
To analyze employee performance, attrition patterns, and retention risks
Assess the effectiveness of training programs
Determine the influence of internal promotions on employee morale
Assess training and development needs
Detect trends that point to possible problems with staff retention
Make better hiring determination by analyzing past performance and recruitment campaigns to identify the best methods for hiring top talent
4. Data Analytics Use Cases In Customer Service
Most companies use data analytics in customer service in many forms. Like as basic as tracking metrics like number of calls or wait time on hold. Organizations use data analytics to understand various forms such as customers’ needs, preferences, satisfaction levels, and more.
The advantages of these types of data use cases in customer services are listed below:
Identification of common complaints and problems that consumers have about services or any products
Solves issues faster and more efficiently through a sound understanding of customer history and needs
Prediction about products or services a customer is likely to buy next
Avail users with personalized best content and recommendations
Automate processes like payment processing and fraud detection
Reduce the cost of delivering support, such as by providing self-service options
5. Data Analytics Use Cases In Finance
Finance is one of the crucial departments that seem to have been made for data and artificial intelligence, Today also most of the major work is manual in finance departments so with data analytics all sorts of efficiency and innovation can be done in this department.
Usage of data analytics in finance departments:
Calculate and predict financial performance, such as futuristic sales trends and profit margin ratio
Considering the efficiency of sales and marketing campaigns and making informed decisions on where to put more capital into and which one to cut back.
Likable pricing strategies based on market conditions and customer demand
Minimize the fraudulent work by identifying unusual patterns, which could be a sign of a fraud
Data analytics is important to know trends and patterns from the large amount of data that is being collected. It helps optimize business performance, forecast future results, understand audiences, and reduce costs. Following trends can be seen in the business in this 21st century:
To choose and apply numerous analytical methods to identify tools appropriate to the data, context, and/or conditions.
Adding analytical methods to find solutions and results to solve business problems.
Translate the results of business analytics into effective courses of action, so as to present with key holders and experts.
Q2. Who is using data analytics for business?
Data analytics is being used by every company to understand their operations and sales, the major four top sectors that are using data analytics are Retail, Agriculture, Banking, and Government. Now need for data analytics is in huge demand and every organization wants to benefit from it and automate their working process so it will be fast, effective, and reliable.
Q3. How to differentiate data analytics and data science?
Data science is an umbrella term for various fields that are used to segregate large datasets and aim to derive meaningful correlations between large datasets. DA focuses on uncovering particular trends and realizing actionable insights into the business.
Q4. What are various data analytics techniques used?
Data analytics for business is the ability to detect patterns in a dataset that may signal trends, hazards, or opportunities. Data analytics allows organizations to make better decisions by changing their operations based on their learnings. The majority of data analysis procedures have been automated to speed up the analytical process. Because analytics tools are widely available, data analysts/ or decision scientists can go through massive amounts of data in minutes or hours rather than days or weeks using techniques like AI predictions, text mining, etc.
Q5. How Do Businesses Use Data Analytics?
Data analytics for business is often needed for crucial decisions and handling functions through various tools like data warehousing, data visualization, predictive analytics and much more can be covered through the DA process. In our listicle article on data analytics for business we have covered the major aspects and benefits of big data in organizations.
DA covers all fields that help business leaders see the organization’s goals and make decisions about major operational decisions that increase efficiency and high revenues. Businesses will succeed in making decisions, by recognizing problems or opportunities, properly and safely collecting data, and exploring that data to draw conclusions and enact solutions for the organization’s benefit.
