As per LinkedIn reports, by the second quarter of 2020, there were 14.2 million people working as business analysts in various industries. To add further, as per the US Bureau of Labor Statistics, this will grow by 14% by 2030, which is predicted as the highest growth measure amongst all the professional progression trends. The maximum employment opportunities for analysts arise especially in countries that are known as financial hubs. Thus, following in the footsteps of the US, business analytics courses in Hong Kong not only offer the students the opportunity to study in the world’s top emerging financial hub but also an opportunity for employment in key international firms.
Introduction to the Importance of Business Analytics
If you take a peek at history, you can find evidence about how the trend and volume of businesses have changed from small merchants keeping handwritten manuscripts for data records to huge companies like HUL with voluminous data. With such a volume of big data being available, arose the requirement of “Business Analysts” to read into this data. Following are the main roles of a Business Analytic in nutshell:
Descriptive Analysis: To collect the business data and present it in coherent charts, pies, graphs, and figures.
Diagnostic Analysis: To diagnose the trends in the sale volume, production outcomes, manpower efficiency, and trends pertaining to the specific industry.
Predictive Analysis: On the basis of the data in hand, predict the future movement of the trend, sales, customer behavior, and workforce outputs.
Prescriptive Analysis: Present solutions based on the predicted trends on how to achieve process optimization, cost efficiency, manufacturing outputs, identifying new business opportunities, and salvaging lost footholds.
The Difference Between Business Analytics and Data Analytics
“Data is the end to means for business analysts, whereas data is the end for data analysts” as termed by Martin Schedlbauer, associate clinical professor and director of Northeastern Universities Information and Data science programs.
A Data Analyst’s main job responsibility is data mining, cleaning the data, preparing it for analysis, figuring out trends, finding out relations in the data trends, preparing statistical methods and visuals to present the data in a more understandable manner, maintaining the database, upgrading the security of the database and proposing various requirements for the software developments and requirements of a business.
Thus, inferring that their main role of them is to analyze, visualize, and present data in a more comprehensible manner. Data Analysts should have knowledge of SQL, statistical programming, R, Python, and knowledge of data structures.
A Business Analyst’s main responsibility is to bridge the gap between the IT department and the Board of Directors. They need not have an Engineering Degree but require a high level of technical understanding and acumen for mathematics and problem-solving. They have to be proficient, not only in hard skills but also should be efficient in soft skills, which requires an excellent level of communication.
The Roles and Responsibilities of a Business Analyst Are as Follows :
Ability to understand big data reports, trends, and processes.
Be able to advise the Data Analysts, on the kind of data and reports which are required, to get an insight into the business processes.
Infer on their own the reports, do a variance analysis, and prepare recommendations and decisions on their own.
Convert all the trends and results into comprehendible figures and charts to present them to not only the management but also the client.
Make decisions for an increase in operational efficiencies, work process optimization, changes in old work processes, identification of process loopholes, cost optimization, product pricing, and marketing strategies, better manpower management, and enhancing the customer satisfaction bar.
High level of analytical thinking, decision-making, judgmental accuracy, and consultative skills
Institutes offering Full Time Classroom Business Analytics Courses in Hong Kong
The following Universities offer full-time classroom Business Analytics courses in Hong Kong
1. The University of Hong Kong
The University of Hong Kong is the first university in Hong Kong and has been ranked #23 in QS World University Ranking in the world. The following courses are available to pursue at The Institute:
In Business Analytics
Admission Prerequisite: For Admission, the following conditions have to be met by the student :
Graduate Degree or Equivalent from a recognized University
IELTS Score of 6 ( Subtest cutoff 5.5)
and Toefl Score of 80
Two good references.
Fees: 4400000 / HK$330,000 /per year
Scholarship: A scholarship of waiver of tuition fees from 10% to 50% for merit-based students. A full fee waiver for outstanding students.
Duration: 1 year (students unable to clear in one year can extend till the second year maximum.)
Course Curriculum: The students are required to attend a Pre-Programme Boot Camp course which brushes up their knowledge in the following subjects :
Programming
Mathematics
Database
Statistics
The following Core subjects are as follows, which are mandatory :
Business Intelligence & Analytics
Business Statistics
Operation Analytics
Quantitative Analysis Methods
The student has to choose any 5 Elective Courses from the following subjects offered:
Accounting Analytics for Managerial Decisions
Big Data Analytics on the Cloud
Blockchain Cyber Security Risk Analysis
Business Simulation
Database Design & Management
Deep Learning
Digital Experimentation Methods
Digital Innovation
Entrepreneurial Opportunities in Financial Technologies
Financial Engineering
Forecasting & Predictive Analytics
Geospatial & Business Analytics
Machine Learning
Marketing Analytics
Prescriptive Analysis
Quantitative Trading
Service Operations Management
Social Media & Digital Marketing Analytics
Story Telling with Data
Supply Chain & Logistic Management
Major Feature: Capstone Course to give real-life experience while working on real-life Business Projects.
Internship Opportunities: Non-Resident students have the following choices for internship :
Part-time on-campus employment
Summer Internship
Curriculum related Internship
Course Feature: The following features of the course makes it count itself amongst the list of prestigious Business Analytics courses in Hong Kong :
The course is modular based, with 6 modules in an entire year, with a time duration of 6-8 weeks. This gives students time to focus on the concerned subject only.
The program is taught entirely in English. There are group project presentations and ample case studies to illustrate the application knowledge of Business Analytics in the real business world.
Students learn hard and soft skills pertaining to simulations and forecasting in social media, finance, marketing and logistics, and supply chain.
2. The Hong Kong Polytechnic University
The Hong Kong Polytechnic University is ranked at #65 as per the QS World University Ranking. It offers an excellent choice to students for Business Analysts courses in Hong Kong. The course prepares the students for core sectors like supply chain, logistics, retail, banking, finance, financial product pricing, and development.
MSc in Operational Research & Risk Analysis
Admission Prerequisite: For admission, the following is required :
A bachelor’s degree with honors in Computer Science, Engineering, Basic Science, Economics, Finance, or equivalent.
TOEFL Score of 80
IELTS Score of band 6
Letter of Experience in case of Previous Employment
Interview
Fees: 160000 approx/per year or HK$7600/per credit
Scholarship: None
Duration: 5 years, Non Local students can only apply for a full-time course.
Course Curriculum: The students are required to complete these 7 compulsory subjects :
Operations Research Methods
Probability & Stochastic Models
Principles of Risk Analysis
Financial Modelling
Business Forecasting
Simulation & Risk Analysis
Advanced operations research methods
There is a choice of 3 Elective Subjects from the following subjects or a Dissertation :
Advanced Topics in Quantitative Finance
Corporate Risk Management
Investment Science
Loss Models
Mathematics of Finance
Mathematics of Derivative Pricing
Scientific Computing
Statistical Inference
Optimization Methods
Statistical Data Mining
Quantum Computing for Data Science
Principles of Corporate Finance
Internship Opportunities: As and when the opportunity arises
Course Features: Among the Business Analytics courses in Hong Kong, the following are the main features of this course :
The course enhances the statistical, analytical, and decision-making acumen of students.
The course gives valuable insight into the areas of logistics, supply chain, finance, product pricing, and procurement.
The course helps the students develop the communicative skills required in the above-mentioned fields, for strengthening relations with investors and clients.
MSc/Ph.D. in Global Business & Decision Analytics
Admission Prerequisite: For admission of foreign students in Business Analytics courses in Hong Kong, the following is required:
Bachelor’s Degree in engineering or equivalent in any other discipline
TOEFL score of 80
IELTS score of 6
Letter of Experience in case of previous work experience
Interview round with the candidates
Fees: 2633593/ year or HK$250500/year
Scholarship: Merit-based on academic and nonacademic excellence as deemed by the Institution of upto HK$50,000 per recipient
Duration: For Msc and Ph.D., the duration is 1 year and can be extended until 1.5 years
Course Curriculum: The following subjects are covered in the Msc. Module:
These are the compulsory courses :
International Logistics Systems, Operations & Management
Supply Chain Management
Global Sourcing & Supply
The following are the elective subjects, out of which students have to choose only 3:
Contract Management /Digital Procurement Management and Analytics
Information Systems for Supply Chain Management/ E-Commerce
The following are Free Elective subjects that are only for Msc students and not required for Ph.D. students. Students have to choose only 4 subjects out of the following list :
Accounting for Managers
Air Transport Logistics and Management
Application of Decision-Making Models
Business Analytics
Enterprise resource Planning
Lean Thinking and Practise
Maritime Logistics
Managing Innovation
Models of Decision Making
Organizational management in Shipping and Logistics
Project Management
Practice Global Supply Chain Management
Project(6 credits)
Risk Management in Operations
Supplier Development
Statistics for Management
Strategies and Technologies for Warehouse Management
Transport Logistics in China
Total Quality Management
Internship Opportunities: Opportunities available by the institution for nonlocal students through Work-Integrated Education(WIE) Programme.
Course Features: Among the various Business Analytics courses in Hong Kong, the following are the strong points of this course curriculum :
The students gain a deeper insight into the global management of supply chain, procurement, and finance related to the organization, procurement, and operations.
The course emphasizes the development of the overall analytical, statistical, quantitative, and qualitative skills of the students.
Accounting and Finance Analytics
Admission Prerequisite: For admission of foreign students the following is required :
A bachelor’s degree, preferably in engineering, computing, or in science.
TOEFL score of 80
IELTS score of 6
Letter of Experience in case of previous work experience
Interview round with the candidates
Fees: 3248602/ year or HK$309000/year
Scholarship: None
Duration: 1year
Course Curriculum: The students are required to complete these compulsory subjects :
Applications of Computing and Technology in Accounting and Finances I
Accounting for Business Analysis
Business Analytics in Accounting and Finance
Contemporary Issues in Accounting Information Systems
Investments
Principles of Corporate Finance
Quantitative Methods for Accounting and Finance
Financial Analysis and Valuation with Programming (Only for MSc students)
Applications of Computing and Technology in Accounting and Finances II
The list of Elective Subjects is as follows, out of which students have to choose 1:
Internship Opportunities: Opportunities available by the institution for nonlocal students through Work-Integrated Education(WIE) Programme.
Course Features: As compared to other Business Analyst courses in Hong Kong, the following are the important features of this course :
The students learn big data analytics and understanding especially related to the finance sector.
Students are given a deeper insight into the core process of finance and accounting.
Students are trained to develop a sharper decision-making process especially related to the finances and accounting of companies.
Business Analytics
Admission Prerequisite: For admission of foreign students the following is required :
A Masters’s degree or Post Graduate Diploma from any University recognized by PolyU.
One year of relevant work experience is mandatory.
Students above 27yrs should have a minimum of 6 years of work experience in the industry, commerce, or public administration, with 3 years in a managerial role.
TOEFL score of 80
IELTS score of 6
Letter of Experience in case of previous work experience
Interview round with the candidates
Fees: 2220219/ year or HK$250500/per program
Scholarship: None
Duration: 5 year
Course Curriculum: The students are required to complete credits in these subjects :
The following are compulsory subjects :
Business Intelligence and Decision
Business Analytics
Management Information Systems
Organisation and Management
The following is the ethics subject :
Business Ethics
The following is a list of Elective courses which are categorized, out of which any 6 subjects are to be chosen by the student for a Non-Dissertation Option and only 2 for a Dissertation Option:
Applications of Decision-Making Models
Business Forecasting
Business Applications of Blockchain
E-commerce
Marketing Management
Models for Decision Making
Managing Operations Systems
Research Methods
Strategic Management
Social Media Marketing
Seminars in Emerging Technology
Textual Analysis in Business
Transformation to Sustainable Smart Cities
Technology Innovation and Management
The following are the Dissertation subjects :
Business Analytics Dissertation
Research Methods
Course Features: In a sea of various Business Analytics courses in Hong Kong, the following are the highlights of this program:
The students are taught the professional ways to analyze and interpret big data analysis, problems, and statistics which are an essential part of the company processes.
Numerous case studies and research teach the students the actual problems and loopholes in the working of a business.
Systematic training of the technique of business analytic application domains and application in real-life cases.
The City University of Hong Kong is ranked #54 as per the QS World University Ranking. There are two streams of Business Analytics Courses in Hong Kong offered by the University, that is, Information Analytics Management and Quantitative Analysis for Business. Admission can be given to the student in either of the streams depending on merits.
Admission Prerequisite: For the admission process the following is required:
Bachelor’s Degree in Engineering or any other discipline with the required mathematical knowledge.
IELTS score of 6.5
TOEFL score of 79
Interview performance
Academic performance and work experience(if any)
Fees: Rs.23,36463/ approx. per year / HK$ 7400/per credit
Scholarship: None
Duration : Full time 1year ( can be extended max. till 2.5yrs)
Course Curriculum: The courses offered in the two streams for the Business Analytics course are :
The core course for both streams is as follows:
Database management Systems
Data Visualisation
Statistical Data Analysis
Data Mining
Machine Learning & Social Media Analytics (Only for Information Analytics Management Stream students)
Applied Linear Statistical Models ( Only for Quantitative Analysis for Business students only)
Elective Courses for Information Analytics Management program are as follows out of which 9 credits have to be chosen :
Analytical Programming with Python
Business Data Analytics
Business Intelligence Applications
Blockchain Technology & Business Applications
Innovation & Technology Entrepreneurship
Information Systems Project
Knowledge Management
Management Support & Business Intelligence System
Project Management & Quality Assurance
Elective Courses for Quantitative Analysis for Business are as follows, out of this 4 elective to be chosen :
Contemporary Topics in Quantitative Analysis for Business
Decision Analytics
Managerial Decision Modelling
Predictive Analysis with Excel & R
Predictive Modelling & Forecasting for Business
Predictive Modelling in Marketing
Project Management
Statistical Modelling in Risk Management
Statistical Modelling in Economics & Finance
Course Features: Among the Business Analytics courses in Hong Kong the following are the main features of this course :
Enhancing the business data analytical skills of the students through various research, case studies in the field of data mining, applied statistics, and social media analytics.
4. Hong Kong University of Science and Technology
Hong Kong University of Science and Technology has been ranked at #40 by the QS World University Rankers. It is a fast-emerging prestigious college in Asia and is counted among the youngest college which has been awarded the Association to Advance Collegiate Schools of Business (AASCB) in 1999, just eight years after its foundation in 1991. Thus, amongst the Business Analytics courses in Hong Kong, it ensures an excellent curriculum with ample opportunities for employment.
MSc in Business Analytics
Admission Prerequisite: For the admission process the following is required :
Bachelor’s Degree in Engineering or any other discipline with the required mathematical knowledge. Knowledge of SQL and Python.
IELTS score of 6.5
TOEFL score of 80
GRE/GMAT scores (highly recommended but not compulsory)
Interview performance
Academic performance and work experience(if any)
Fees: 3159599/ approx. per year / HK$ 335000/per year
Scholarship: None
Duration: Full-time 1year
Course Curriculum: The course curriculum offers 18 credits to be taken from the required course list and 12 credits from the Elective courses, which are as follows :
The following is the list of compulsory courses :
Introduction to Business Analytics
Visual Analytics for Business Decisions
Social Media and Network Analysis
High Dimensional Statistics with Business Applications
Business Modelling and Optimization
Privacy Management in the Digital Age
Big Data Analytics
Decision Analytics
The following are the Elective Courses :
Special Topics in Business Analytics
Business Analytics Practicum
Big Data Technologies
Operations Analytics
Business Modelling with VBA
Digital Business and Web Analytics
Learning Statistics with Python
Course Features: Amongst the various Business Analysts courses in Hong Kong, this course curriculum has the following strong points :
Interactive workshops with industry experts at regular intervals.
Theoretical practices to gain mastery in business communication, data analysis, and decision-making process.
5. The Chinese University of Hong Kong
The Chinese University of Hong Kong stands at #38 QS World Ranking of Universities. The University is the first among Business Analytics courses in Hong Kong and offers excellent placement opportunities for students due to its close affiliation with the Chinese Market Economy. It also offers Risk Management and Data Analytics Actuarial Science and Insurance Analytics course apart from Business Analytics courses.
In Business Analytics Course
Admission Prerequisite: For the admission process the following is required :
Bachelor’s Degree in Engineering or any other discipline from a recognized University.
IELTS score of 6.5
TOEFL score of 79
GRE/GMAT scores
Interview performance
Academic performance and work experience(if any)
Fees: Rs.3317678/ approx. per year / HK$315000/per year
Scholarship: None
Duration: Full-time 1year
Course Curriculum: The courses are divided into 3 trimesters with an optional Summer Term. In all the trimesters a student has to choose 2 core courses and 1-2 Elective courses. In the Summer Term, a student has the option of selecting any Elective course. The list is as follows :
The following is the list of Core Courses:
Business Intelligence Techniques and Applications
Decision Models and Applications
Data Mining for Managers
Risk and Operation Analytics
Statistical Analysis
The following is the list of Elective Courses :
Artificial Intelligence for Business
Advanced Business Analytics Practicum
Business Process Analysis and Simulation
Database and Big Data Management
Economic Analytics
Fintech and its Applications
Supply Chain and Logistics Management
Managing Service Operations
Technology Field Study
Web Analytics and Intelligence
Course Features: The following are the advantages of this course as compared to other Business Analytics courses in Hong Kong :
During the Technology Field Study elective course students get the opportunity to either work in any renowned company or any R and D centers to gain first-hand knowledge of real-world business processes.
FAQs
1. What are the requirements for enrolling in Business Analytics courses in Hong Kong?
The following are the requirements for enrolling in full-time Business Analytics courses in Hong Kong :
A Bachelor’s Degree in either Engineering or any discipline with a focus on Mathematical abilities.
TOEFL Score of 80
IELTS Score of 6 generally, although few institutions require 6.5 bands.
Good academic performance
Some institutes conduct an interview for the final selection
Work experience certifications if applicable
2. What are the advantages of studying in Hong Kong?
The following are the advantages for students enrolled in Business Analytics Courses in Hong Kong :
Hong Kong is fast emerging as the financial hub for not only Mainland China but also the rest of the world. There are as per the 2021 census data 1260 top US firms and offices of 70 leading banks in the world. Thus there are ample employment opportunities for students.
Language is no barrier as mostly English is spoken due to the presence of many foreign nationals living and working in the city.
Scholarships are available for students given by the Government, apart from scholarship opportunities present in different institutions. Part-time jobs and internships are also available for foreign students.
3. What is the average salary of a Business Analyst post the course?
In India, the average salary of a Business Analyst ranges between Rs.14 lacs per annum to Rs.40lacs per annum. After completing any Business Analysts courses in Hong Kong the average starting salary is HK$ 60518 /month on an average of HK$76000/month for a senior business analyst, as per Glassdoor Agency.
4. What is the average duration of the Business Analytics courses in Hong Kong?
The average duration for a full-time, classroom Business Analytics course is 1 to 1.5 years. The Institutes give an option of an extension of 1 year further to students unable to complete all examinations. For part-time students, the course duration is between 2-2.5 years. With additional extension given by the institutions, the student has to finish in a maximum of 5 years anyhow.
Summary
Hong Kong is the best place, especially for Indian students looking for education opportunities in a foreign land. The biggest advantage is the strong and rising financial economy which offers ample employment opportunities not only in Hong Kong and China but all across the globe. Language is not a major barrier for students due to its multilingual community. Business Analysts courses in Hong Kong give the flexibility to a student to opt for an MSc degree, and in case of any unseen circumstances one cannot complete the entire course, then a Pg Diploma can be awarded on completing the main 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.
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.
As per the Bureau of Labour Statistics, the forecasted growth in the demand for Data Analysts between 2021 to 2031 will be 23% which is higher than the predicted average growth of all the occupations taken together. Data has revolutionized the world, and almost every industry is cashing in on this time to achieve maximum impact in their areas. Data science is evolving every day with new technologies being innovated. If you are an aspiring data analyst and want guidance on how to step into this world, here is a brief review of IIM SKILLS Vs Learnbay Data Analytics Course.
Introduction to Data Analytics
Welcome to the World of Data!! Every day 328.77 new data is produced every day. According to www.researchandmarkets.com, 94% of businesses store their data on cloud servers. By 2028, 41.6 billion IoT (Internet of Things) devices will be connected to the Internet. One can imagine the size of the data that would be generated then! The major market growth drivers were the adoption of Big Data Analytics by almost all business sectors, the usage of Cloud Computing, and innovations and adoption of Artificial Intelligence and Machine Learning. The major market share in 2022 in the Data Analytics Market was of Data Visualization & Dashboard, followed by Data Mining and Data Warehousing.
Since every day 328.77 million terabytes of data are being generated, it comes as no surprise that the Data Analytics market share which was at USD 294.16 billion will be hitting USD 662.63 by 2028.
Data Analytics has revolutionized the world, especially the business world. This can be judged from the fact that at present 72% of the advertising budget is now being allocated to digital marketing. Here is a brief overview of the advantages of Data Analytics:
Revenue Enhancement: With the help of Data Analytics companies can focus on the segments which are profit-making and divest, shut down, or revamp areas that are incurring losses.
Optimizing Operating Costs: Data Analytics helps in reducing operational costs by evaluating the current workflow, analyzing the outputs, reducing areas of loss, and automating the operations.
Effective Advertising Expenditure: With Data Analytics the result of any ad campaign can be obtained in real-time and fast, helping the company to modify the campaign or continue, and gaining the main objective of increased sales, and increased customer base.
Better Customer Service: Data Analytics gives a better understanding of the customer’s preferences and dislikes or dissatisfaction, making it easier to enhance customer service and make it more personalized.
Minimize Risks: Data Analytics help mitigate risks by forecasting requirements of funding, the effect of market trends, economic changes, and political changes on revenue and production.
In this section, before we begin with the comparison between IIM Skills Vs Learnbay Data Analytics Course, a brief outline of the generally covered topics in any Data Analytics course is listed. This will help as a guide to even compare the syllabus of other institutes. The inclusion of these topics depends upon the institute or the level they set the course for. Here are the core topics of any Data Analytics course:
Introduction to Data Analytics:
Detail Overview of Data Analytics and its importance in today’s world
Opportunities and Career for a Data Analyst
Roles and Responsibilities of a Data Analyst in Different Industries and different domains
Data Collection
Types of Data and Data Collection Description
Types of Data Collection: Primary Collection through interviews, surveys, questionnaires, focus groups, and study groups. Secondary Collections like published databases, reports, journals, and expert opinions.
Data Preprocessing
Explanation of Data cleaning, preprocessing, and transformation.
Detailed explanation of steps of Data Preprocessing like Profiling, Cleaning, Reduction, Transformation, and Enrichment.
Methods of Preprocessing like sampling, transformation, denoising, imputation, normalization, and feature reduction.
Data Exploration
A detailed explanation of how to explore data to uncover hidden trends
Methods used for Data Exploration like Variable Identification, Univariate, and Bivariate analysis
Data Visualization
What is Data Visualization?
A detailed explanation of how to graphically present the analysis in the form of colors and images.
Methods used like graphs, bars, charts, infographics, Geospatial, and dashboards, etc.
Statistical Analysis
A detailed explanation of statistical analysis and how to find correlations between trends and patterns and how to develop valuable insights from them.
Types of Statistical Analysis- Descriptive Analysis, Inferential Analysis, Predictive Analysis, Prescriptive Analysis, and Exploratory Data Analysis.
Methods used- Mean, Standard Deviation, Regression, Hypothesis Testing, and Sample Size Determination.
Data Mining
An explanation of the process of mining through large datasets and identifying patterns in them.
Tools used for Data Mining- Association Rule, Classification, Clustering, Decision Trees, K-Nearest Neighbours, K- Nearest Neighbour, Neural Networks Predictive analysis.
Machine Learning
A detailed explanation of how AI can be used to make the systems learn from past experience without any programming or human interference.
Types- Un- Supervised, Supervised, and Reinforcement.
Big Data
Definition of Big Data
Types- Structured, Unstructured and Semi-Structured
Data Warehousing
Explanation of Data Management System designed to enable business intelligence activities.
Collection and analysis of big data
Tools- Marklogic, Oracle, Amazon Redshift
Database Management System
Details of the Collection system for Big Data help in retrieving, managing, creating storing, and updating information.
Tools- SQL, Oracle RDBMS, Salesforce, DevOps
Data Ethics and Privacy
The 6 Principles of Data Protection
Rules of ethical conduct in data handling like the restriction of unauthorized access to personal data, actions against inappropriate use of data, ownership, and access to data, etc.
Tools
This list is of the widely used and taught tools in all the courses:
SQL
Tableau
Python
R Programming
DAX
Excel
Apache Spark
Project Jupyter
SAS
Talend
KNIME
Looker
Splunk
Rapid Miner
QlikView
Case Studies and Assignments
Case studies are given to the students based on real-world examples to gain practical knowledge of the theory.
Capstone Project
Capstone Project is given at the end of the course, here the student works either individually or in a group on devising solutions for a real-world project.
IIM SKILLS Vs Learnbay Data Analytics Course: An Overview
Data Analytics has in a short period managed to carve an important niche for itself in today’s business scenario. With the rise in the demand for Data Analysts, similarly rising is the demand for experts, who can think outside the box. In this race of acquiring a good position and carving a niche for yourself, enrolling in a Data Analytics course is always considered a sound investment in one’s own future. There are a plethora of institutes conducting online and offline Data Analytics courses, the choice depends upon the preference, and convenience of the students and the reputation of the institute. In a bid to ease the choice, we bring you a brief overview of IIM Skills Vs Learnbay Data Analytics Course comparison. Both being leaders in their respective fields, here is a list of benefits and course modules each offer to the students:
Brief Overview of IIM SKILLS and Learnbay:
Before embarking on the journey of understanding the advantages and strong points of IIM Skills Vs Learnbay Data Analytics Course, here is a brief look at the background of both the leaders:
IIM SKILLS:
IIM SKILLS was established in 2015 as an online tech educator imparting Content Writing Courses. The success and the number of satisfied students that the course garnered made the institute foray into teaching other subjects like Digital Marketing, Finance, Investment Banking, Business Accounting, Artificial Intelligence, Machine Learning, and many more other subjects. They have a strong presence in 23 cities in India. They also are present in Asia, Dubai and Singapore. They have successfully trained more than 35000 students globally and have conducted more than 9500 training batches. Leading Education Blogs like Career 360, AdvisorUncle, CourseReport, and Course Dekho have voted IIM SKILLS as a leading online training institute.
Learnbay has to date trained more than 30000 students and assisted their placements amongst their strong network of more than 300 companies, who have been in partnership with Learnbay for placement. Their presence is not only in India but also in Canada and Dubai. They offer courses mainly in Data Science, System Designing, and Full Stack Development.
IIM SKILLS Vs Learnbay Data Analytics Course Fees and Eligibility Criteria:
The details of the IIM SKILLS Vs Learnbay Data Analytics Course fees and eligibility criteria are as follows:
IIM SKILLS
Learnbay
Duration
6 months
5 months for regular weekday batch
6.5 months for weekend only batch
Mode
Online
Online
Fees
Rs.49900
Rs. 93220
Eligibility Criteria
Bachelors Degree
Knowledge of mathematics, statistics, and computers
Min. 6 months work experience in the same domain for tech/non-tech background
BE/B.Tech, BBA/MBA, MCA/MTech
IIM SKILLS Vs Learnbay Data Analytics Course Curriculum:
As a student, it is an inherent need to compare the syllabus of different institutes to choose the one which covers the latest softwares and tools and cover a plethora of subjects to ensure that the student has in-depth and good knowledge before they start preparing for interviews. Here is a brief overview of the IIM Skills Vs Learnbay Data Analytics Course syllabus for students’ perusal:
IIM SKILLS
Learnbay
9 hrs
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 Control
80 hrs
Module 0:
Cohort Orientation
Introduction to Tools
Introduction to Projects and Capstone Project
Data and it’s impact career opportunities
Utilizing Data
Fundamentals of Programming:
Introduction to Anaconda and Jupytr notebook
Introduction to GIT and GITHub
Python Fundamentals
Fundamentals of Statistics
Mean, Mode , and Median
Standerd Deviation, Average Probability, Permutations and Combinations
Introduction to Linear Algebra
15 hrs
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA works with Excel
Programming constructs in VBA
Functions and Procedures in VBA
Objects and Memory Management in VBA
Communicating with your Users
50 hrs
Python Programming
Programming Basics and Environment Setup
Pythom Programming Overview
Python Data Types
Functions and Modules
File I/O, Exceptional Handling and Regular Expressions
Data Analytics using NumPy
Data Analytics Using Pandas
Data Visualization using Matplotlib
Data Visulaization using Seaborn
39 hrs
Data Analytics Using SQL
Basic RDBMS Concepts
Utilising the Object Explorer
Data Based Objects Creation(DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration
30 hrs
Statistics and Basic Machine Learning:
Statistics
Fundamentals of Math and Probability
All about Population and Sample
Discrete Probability Distributions- Binomial, Poisson, etc
Introduction to Statistics, Statistical Thinking
Descriptive Statistics
Hypothesis Testing
Linear Algebra
Data Processing and Exploratory Data Analytics
EDA, Statistics Assignments
24 hrs
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keep and Remove Rows, add and remove Go To Columns
Data Analysis Expressions (DAX)_
Reports Development (Visuals in Power BI)
40 hrs
Machine Learning:
Introduction to Machine Learning
Regression and Classification Model
Linear Regression Model
Data Preprocessing
Encoding the Data
Logistic Regression Model
Evaluation Metrics for Classification Model
K Nearest Neighbours Model
Decision Tree Model
Random Forest Model
Hyperparameter Tuning
Naive Baye’s Model, Case Study on K Mart Model Business and Random Forest
10 hrs
Data Analytics Using Python 1
Introduction to Basic Statistics
Introduction to Mathematical Foundation
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations with NumPy
Overview of Pandas
Cleansing Data with Python
14hrs
Data Analytics Tools:
Module 1 : SQL
SQL and RDBMS
Advanced SQL
NoSQL, HBase, and MangoDB
Programming with SQL
10 hrs
Data Analytics Using Python 2
Data Analytics Using Python
Basic Visualization Tools
Visualization Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
14hrs
Module 2 : Power BI
15 hrs
Data Analytics Using TABLEAU
Introduction
Data Handling and Summaries
Building Advanced Reports/Maps
Table Calculations
Calculated Fields
16hrs
Big Data and Spark Analytics
Introduction to Hadoop and Big Data
PySpark
20 hrs
R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Database
Introduction to Statistics
Linear Regression
Testing
14hrs
Time Series
Introduction to Time Series Forecasting
Intorduction to ARIMA Models, Case Study
18hrs
Data Analytics Using Alteryx
30 hrs
Excel:
Introduction to Excel
Excel Toolbars
Switching between Sheets
Entering Data Values and using Auto Complete
Inserting and Deleting Cells, Rows and Columns
Working with Forms Menu
Creating and Working with Charts
Pie Charts
Data Analytics and Pivot Table
IIM SKILLS Vs Learnbay Data Analytics Course Tools:
In this section we will have a brief look at the tools covered in IIM Skills Vs Learbay Data Analytics Course:
IIM Skills
Learnbay
Excel
Power BI
Pyhton
TABLEAu
ALTRYX
SQL
R
Pyhton
Anaconda
GitHub
Pandas
Matplotlib
Scikit-Learn
Seaborn
SQL
MongoDB
Tableau
Power BI
Big Data & Spark Analytics
Time Series
IIM SKILLS Vs Learnbay Data Analytics Course Features:
IIM Skills and Learnbay are both industry leaders in Data Analytics domain. The IIM Skills Vs Learnbay Data Analytics Course respectively have their own set of advantages which are as follows:
IIM SKILLS: the Special Features of This Course Are as Follows:
The training includes more than 10 case studies and 7 live projects with well known industries.
After the completion of the course students may join a 2 months internship program that the institute offers. The students get practical knowledge of all the theories learned in the class, assistance with obstacles, and problem-solving. This ensures that the students are well prepared to step into the real world scenario.
Students have the opportunity to interact live with mentors and trainers hailing from a rich industrial background.
The students have lifetime access to the Learning Management System(LMS) in which all the taught material, video recordings, and all other material are stored.
The institute offers support in resume building and full placement support.
Learnbay: The Outstanding Features of the Data Analytics Course are as follows:
The training has assignments at the end of each module, to help the students put into practice the things they have learned.,
The Capstone Project certificate is awarded by IBM.
The other projects during the training are with Swiggy, Uber, BMS, BFSI, Netflix, and Saudi Aramco.
The students can interact face to face with mentors who are industry experts in their domain.
The institute offers 1 yr of job placements and interview opportunities.
They conduct 3 moc interviews with industry leaders
They provide assistance in portfolio and resume building.
IIM SKILLS Vs Learnbay Data Analytics Course Certificate:
The certificate is a proof for a student of the validation of learning from a credible and well-renowned institute. IIM SKILLS Vs Learnbay Data Analytics Course offers course completion certificates which have the following organizations accrediting it:
The certificate provided by IIM SKILLSafter the completion of the course is along with MSME and CDAM, both are government institutions.
The certificate provided by Learnbay is with IBM and Microsoft.
Conclusion
In conclusion, the world of data analytics is fast evolving. With more and more IOT ( Internet of Things) devices getting connected to the internet, the amount of data generation is increasing, and so is the demand for experts who can handle the huge amount of data. Enrolling in any course for Data Analytics gives any aspiring candidate the edge required to perform well in the industry.
In this article, we have described the salient points of IIM SKILLS Vs Learnbay Data Analytics Course. With IIM SKILLS the biggest advantage is that any students with no prior experience in the domain, yet who have an analytical mindset, and interest in mathematics, statistics, and computers, can apply with ease. The course is designed such that all the tools currently prevalent in the industry are included. The institute being a leader in the education domain provides a lifetime access to students through its Learning Management System (LMS) to course material, lectures, and other reading material. IIM Skills has a long list of successful placements as they have an impressive list of placement partnerships with renowned companies.
Learnbay is a leading institute in the field of Data Science and data analytics. They lead in specialization in specific domains, especially for professionals looking to upgrade their knowledge. They too have an impressive list of placement partnerships with well-known companies and have had a successful record of placements for their students. Their certificate from IBM and Microsoft certainly holds an edge over other institutions.
Thus, choosing between IIM SKILLS Vs Learbay Data Analytics Course depends on the choice of the individual as per their goals.
FAQs
Q. What is a Data Analytics course and its importance?
A Data Analytics course teaches individuals all the tools, techniques and software that are required to collect, clean, and process data to identify trends and patterns. These patterns and variables are sought after to help companies make informed decisions with the objective to enhance revenue and optimize costs. A Data Analytics course is important as the course covers not only the theoretical part but also the practical application of the theory in real world scenarios. The ultimate goal is to prepare a student to be efficient with the required knowledge before applying for any job opportunities, or to enhance the technical skills of candidates already working in this field.
Q. What skills and tools I will learn in any Data Analytics Course?
A Data Analytics course trains the students to work on the latest tools and softwares prevalent in the industry like SQL, Power BI, Excel, Python, R, TABLEAU, ALTERYX, and others. In addition to technical skills soft skills training is a part of the course where the students are prepared for job interviews.
Q. How will I get practical experience while doing a Data Analytics Course?
All Data Analytic Courses have a plethora of case studies and projects which the students have to work on during the training. These cases and projects are taken from real world scenarios, thus, enhancing the analytical skills, problem solving and decisions making skills of the students. Few institutes also offer Capstone Projects to students in which the students work for a company in any of their domains. This is excellent not only in gaining practical experience but also help in building a strong portfolio for the students.
In the year 2023, there are approximately 15.14 billion Internet of Things (IoT) devices which are predicted to grow to approximately 41.6 billion by 2025. Thus, one can then imagine the volume of data that would be generated and the demand for data experts to manage it. Thus, the growing demand for Data Analytic experts! Data Analytics Courses are the pathway to generating experts with a competitive edge. In a bid to guide you on the same pathway, here is a brief overview of IIM SKILLS Vs Swayam Data Analytics Course advantages and strong points for your perusal!
Data Analytics Vs Data Science – Differences
A majority of people get confused between Data Science and Data Analytics, mistaking both to be the same. Here is a brief comparison between them to highlight the differences:
Data Science: Data Science is a broad field that deals with studying, understanding patterns and trends, and developing insights for further developments of structured and unstructured data is known as Data Science. Data Analytics, Data Engineering, Modelling, and Data Mining are all a part of Data Science.
Scope: Data Science has a broader scope as it has many disciplines like data analytics, statistics, machine learning, data engineering, computer science, data mining, and modeling.
Problem Solving: Data Science works on arriving at solutions and insights on open ended questions from structured or unstructured large data. Here one applies predictive models, statistics, machine learning, and data mining to understand the trends and patterns and their relationship.
Focus: The focus of Data Science is to develop new techniques, models, and methods to discover trends, patterns, and correlations.
Skills: A Data Scientist needs to know an advanced level of programming, application of machine learning, data mining, Python, C++, Java, and other advanced programming languages.
Analysis: Data Science applies Predictive Analysis to predict future patterns and Prescriptive Analysis to discover insights, which are also based on Data Analytics.
Data Analytics: Data Analytics is the field of identifying trends and patterns mostly from structured data. The objective of this search is aligned with the objective of improved decision-making and enhancement of revenue of any business.
Scope: The scope of Data Analytics is very small as the objective is to find answers to certain specific questions and not explore and experiment.
Problem Solving: In Data Analytics, specific solutions to close-ended specific questions are sought after. They identify trends and patterns from the historical data by applying descriptive analysis to arrive at solutions. These understandings are presented in front of the company members and clients with the help of Data Visualization. The final goal of Data Analytics is assistance in making informed decisions related to the business.
Focus: The focus of Data Analytics is to assist in decision-making and strategy development which would ultimately optimize business processes, and improve performance.
Skills: A Data Analyst should know basic programming, Python, R, and Hadoop.
Analysis: Data Analytics works mainly on Descriptive Analysis performed on historical data to find the trends and variables and a correlation between them.
The IIM SKILLS Vs Swayam Data Analytics Course ensures that the students enrolling for the course are well prepared to take a step further into Data Science if they choose.
Data Analytics has eased the process of making sense of the data that a business can have access to, to make informed decisions. Now, every business has a different objective and goal for the analytics result. Based on this Data Analytics has been divided into different types. In this article, we take a brief look at the types, although you can get a detailed explanation and comparison in IIM Skills Vs Swayam Data Analytics Course. The following types of Data Analytics are prevalent in the industry:
Descriptive Analytics: Analysis is done on the past data of the company with the application of statistical techniques to identify trends and variables. These trends and variables were the reasons for the product, service, and campaign’s success or failure. This analytics sets the base for taking future courses of action. Descriptive Analysis is used as a base for preparing reports and a base for data visualization.
Diagnostic Analytics: As the term suggests, this technique is used to diagnose the anomalies in the data which are the reasons for the loss or profit.
Predictive Analytics: In this technique, data analysts prepare models to predict future events based on past data trends. This type of analytics uses relations between different variables to forecast future events. It is also used for classification.
Prescriptive Analytics: Data Analytic experts generally use this technique to measure the impact of the patterns and variables to forecast future events and based on that prescribe the best course of action to be taken. It also involves the use of machine learning, complex computational modeling, statistics, and high-end algorithm. The results help in taking informed decisions for the company with the objective of cost optimization and profit enhancement.
Text Analytics: This technique uses machine learning, linguistics, and statistics to work on raw data comprising text. This is generally used to analyze product performance, customer behavior, and opinions.
Spatial Analytics: The raw data of this type comprises geographic and location-based data. It uncovers patterns related to geographic features like disaster warnings, urban planning, astronomy, and health care.
Time Series Analytics: The raw data in this type of Analytics is covered at definite time intervals, measured over a long-time span. It captures the trends relating to changes in trends over a period of time. Structured data is a must for this. It is used for forecasting weather changes, stock price trends, and many others.
Web Analytics: This type of analytics is used for digital marketing to analyze customer behavior on websites. It is part of Customer Relationship Management and tracks, reviews, and analyzes their behavior related. The results are used to make informed decisions when promoting a product or service and optimizing the marketing costs.
Social Media Analytics: As the heading suggests, the data to be worked on is taken from the likes, dislikes, previews, retweets, and clicks of customers on social media. It works on predicting the sentiments of the customer related to a brand and its products and the influence of campaigns and innovations on customers.
Methods in Data Analytics
This section gives the prospective students a measure to compare IIM Skills Vs Swayam Data Analytics Course, based on the inclusion of the methods used in Data Analytics:
Regression Analysis: In this method the relation between a dependent variable is measured with independent variable/s. The goal is to analyze the factors influencing the dependent variables and the interaction of it with other factors. It is generally used to envision the price of a product and the factors influencing it.
Descriptive Analysis: In this method with the use of mean, median, mode, standard deviations, and other statistical methods the events are analyzed from the past data and forecast their impact on future events.
Factor Analysis: The method is used to find out common patterns which are known as factors. These factors can generally go unnoticed, thus, to reduce the set of variables in a data and to analyze the hidden trends this method is used.
Inferential Analytics: When the population for analysis is huge, then analysts use a smaller set as the representative and make inferences based on the results of it.
Time Series Analytics: The most commonly used method in this is Autoregressive Integrated Moving Average (ARIMA). In this method, certain time points in a long span of time period of data are set to configure the patterns.
Cluster Analysis: In this method from the raw data set groups are made depending on the similarity in following trends and patterns. They occur naturally and are not predefined. This helps in managing the data set more efficiently.
Machine Learning: In this method, Artificial Intelligence is used predominantly to build algorithm models for analyzing data. The clustering, classification, and detection of variables is done with minimum human intervention.
Natural Language Processing (NLP): When the data is in the form of spoken, written, and text responses then to analyze this set Natural Language Processing method is applied. The data set is the response of customers towards a product, service, and any event.
Principal Component Analysis: In this method, the larger dimensional data set variables are converted into smaller dimensional datasets, while keeping the original variance preserved. This is the most popular method used for Multivariate Data Analytics.
A/B Testing: In this method, two variables are compared to check which performs better on a given metric. It is the most prevalent method used to improve web marketing strategies.
A Data Analytics Course gives a student the opportunity to learn the latest methods and practices which are currently used in the industries. The IIM Skills Vs Swayam Data Analytics Course is a testimony to the same, which an individual can have a brief look at from the details given in this section.
Brief Overview of IIM Skills and SWAYAM:
Before indulging in the IIM Skills Vs SWAYAM Data Analytics Course details, let’s have a look at both institutions:
IIM SKILLS:
IIM SKILLS was started in 2015 by Vaibhav Kakkar as an ed-tech website with its first Content Writing course. The program garnered major success and almost had 1 million views, which led to the foundation of other successful training courses in finance, data science, marketing, content writing, and other multiple domains. A strong group of more than 120 expert trainers has to date trained more than 35000 students. The institute has marked its presence in 23 cities not only in India but in Dubai and Singapore too.
Study Webs of Active Learning for Young Aspiring Minds or Swayam is a Government of India initiative which started on 9th July 2017 and was launched by former President Shri Pranab Mukherjee. The motive behind this learning platform was to provide education to everyone, anywhere and anytime. There are approximately 2150 courses conducted on the platform in more than 5 local languages. The courses are in subjects for students starting from class 9th till Post Graduation. The SWAYAM Massive Open Online Courses are available globally. SWAYAM PRABHA is the educational DTH Channel which the body started in 2017 with many courses recorded on various subjects.
IIM SKILLS Vs SWAYAM Data Analytics Course Details:
The details of IIM SKILLS Vs SWAYAM Data Analytics course, fees, and eligibility criteria are as follows:
IIM SKILLS
SWAYAM
Duration
6 months
3 months
Mode
Online
Online
Fees
Rs.49900
Course is free of cost.
Eligibility Criteria
Bachelor’s Degree
Knowledge of mathematics, statistics, and computers
Bachelor’s Degree
Knowledge of mathematics, statistics, and computers
IIM SKILLS Vs SWAYAM Data Analytics Course Curriculum:
Before one decided to enroll in any Data Analytics course it is very important to do a thorough research about the course contents and credibility of the institution, as the final certificate of completion is a steppingstone for the students in the business world. Here is a brief overview of the syllabus of IIM Skills Vs Swayam Data Analytics Course to get a better idea of what will be taught during the training period.
IIM SKILLS
SWAYAM
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 Control
Introduction to Data Analytics and Python Fundamentals
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA works with Excel
Programming constructs in VBA
Functions and Procedures in VBA
Objects and Memory Management in VBA
Communicating with your Users
Introduction to Probability
Data Analytics Using SQL
Basic RDBMS Concepts
Utilising the Object Explorer
Data Based Objects Creation(DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration
Sampling and Samplinbg Distributions
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Adding and Deleting Rows, add and remove Go to Columns
Data Analysis Expressions (DAX)_
Reports Development (Visuals in Power BI)
Hypothesis Testing
Data Analytics Using Python 1
Introduction to Basic Statistics
Introduction to Mathematical Foundation
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations with NumPy
Overview of Pandas
Cleansing Data with Python
Two Sample Testing and Introduction to ANOVA
Data Analytics Using Python 2
Data Analytics Using Python
Basic Visualization Tools
Visualization Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Two Way ANOVA and Linear Regression
Data Analytics Using TABLEAU
Introduction
Data Handling and Summaries
Building Advanced Reports/Maps
Table Calculations
Calculated Fields
Linear Regression and Multiple Regression
R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Database
Introduction to Statistics
Linear Regression
Testing
Concepts of MLE and Logistic Regression
Data Analytics Using Alteryx
ROC and Regression Analysis Model Building
C2 Test and Introduction to Cluster Analysis
Clustering Analysis
Classification and Regression tree
IIM SKILLS Vs SWAYAM Data Analytics Course Features:
The final factor in choosing a course is the advantages and strength of the course over the courses provided by other institutions. To assist students in making their choice, here is a list of strengths of the IIM SKILLS Vs SWAYAM Data Analytics Course:
The training includes 10 case studies and 7 live projects with renowned industries.
Post completing the training, students have the option of joining a 2-month internship program with the institute. The students get practical knowledge in the class, and assistance with problem-solving. This ensures that the students are well prepared for further job placements.
Since the trainers and mentors are industry experts, students have the opportunity to interact with the live and have doubt solving and guidance sessions.
The students are given lifetime access to the Learning Management System (LMS) which is stored all the course material, video recordings, and all recordings of the tool usage instructions.
The institute offers 100% assistance in resume building, soft skills building, and full placement support.
Swayam: the Main Features of This Government Run Platform Are as Follows:
The course is conducted in partnership with the Indian Institute of Technology Roorkee, which is a well renowned Engineering College, currently ranking at 8th position in India.
The Data Analytics application are the ones that are used currently in the industry.
The course teaches the application of Data Analytics in the workplace and also in life too.
The course is approved by AICTE.
The National Coordinators of the course are National Program of Technology Enhanced Learning (NPEL), All India Council for Technical Education (AICTE), University Grants Commision (UGC), National Institute of Open Schooling (NIOUS), Indira Gandhi National Open University (IGNOU), Indian Institute of Management Bangalore, Consortium for Educational Communication (CEC), and NITTR.
The students can learn at their own pace and convenient time.
The students have to build analytical models from scratch on their own thus, giving them hands on experience.
IIM SKILLS Vs SWAYAM Data Analytics Course Certificate:
As the certificate awarded after the completion of the course bears the organizations and bodies accrediting them, thus, it is very important to ascertain before deciding to join any course. IIM SKILLS Vs SWAYAM Data Analytics Course offers certificates that have the following organizations accrediting it:
The certificate awarded by IIM Skills after the course is accredited by MSME and CDAM government institutions.
SWAYAM being a government body is governed by the Ministry of Education and approved by AICTE. Any student who wishes to get a certificate has to pay Rs.1000 and appear for an evaluation test. Once the student clears the test, the certificate is awarded to him/her.
IIM SKILLS Vs SWAYAM Data Analytics Course Website:
To sum up this article in brief, Data Analytics has revolutionized the world with its ability to find out hidden trends and patterns that companies were not able to figure out. Business Intelligence was coined after the innovation of the methods of Data Analytics. There has been a significant rise in the Internet of Things(IoT) devices, which are helping businesses track trends and patterns in vast areas, leading to a number of new innovations and developments. With this growing demand for Data Analytics, parallelly is the growth for Data Analytics Experts also growing. Any aspiring candidate with the help of credible training can get an edge over the others in this highly competitive field.
IIM Skills has taken the forefront in this field with its comprehensive, extensive curriculum and experts as mentors and trainers. The course material is versatile, practical, and in alignment with industry practices. The practical approach helps the students be well prepared for the challenges in the Data Analytics field.
SWAYAM on the other hand offers courses that are free, the training is self paced and is accessible wherever and whenever it is convenient for the learners. The credibility of the institute is evident from the fact that it is governed by nine government educational bodies.
Finally the decision of choosing lies with the individual’s preference, affordability, and convenience. As both the institutes have excellent trainers imparting training, the students can be well assured that their future is in secure hands.
FAQs
Q. What is Data Analytics and why is it important in today’s world?
Data Analytics is a field of science that collects raw data and studies trends and patterns to come to meaningful conclusions related to past events and forecasting. In today’s business scenario, Data Analytics has helped to arrive at results in real time which reduces the time to make informed decisions, that directly are related to cost optimization and enhancement of profit. Data Analytics has been means of innovation in various fields and the discovery of new business opportunities.
Q. What soft skills are required to become a Data Analyst?
To become a successful Data Analyst, one should have an affinity for mathematics, statistics and a keen interest in computers. As the field requires identifying trends and patterns, one should develop the skill of giving attention to fine details. Along with good communication skills, an aspiring data analyst should also be creative.
Q. What are the career opportunities after completing a Data Analytics Course?
Data Analytics is being adopted by many industries like finance, healthcare, telecommunication, retail, manufacturing, and other industries. Thus, there are ample job opportunities available. A fresher may join as a data analyst, business analyst, or a marketing analyst.
