Business Analytics Jobs – A Comprehensive Guide

In business analytics jobs, a person has to analyze and interpret large amounts of data by conducting extensive research to assist the organization in making decisions. The field of business analytics jobs offers multiple opportunities, such as business analyst, financial analyst, marketing analyst, data analyst, data scientist, and business intelligence analyst. In this article, we will explore the roles and responsibilities of each type of job within the specialization. Before going deeper into these career options, let us understand the concept of business analytics and its types, needs, and importance it carries. 

 

A guide to business analytics jobs

 

What is Business Analytics?

Suppose there is a small retail store running only in a city. But after some years the retail store expanded into a big departmental store with multiple branches along with an online market presence across many states of the country. Now they have to manage and organize lots of data to compete and stand in business.

To support their growth and increase their revenues, they require business analytics to analyze sales and purchase data, inventory data, customer behavior and needs, market trends, website traffic, and more. By implementing the techniques and strategies of business analytics the departmental store can get insights into the area for improvement, optimize their performance, stay ahead of the competition, and increase growth and profitability.”

Business Analytics is the process of gathering and analyzing all relevant information or data and transforming them into insights to improve decision-making. Businesses of all sizes produce considerable amounts of data through multiple sources.

Business Analytics is utilizing the benefits of statistical, quantitative, and operational methods along with set skills and technologies to analyze and interprets past and present data which aid the organization to gain insight into business operations.

 

The General Process of Business Analytics is:

  • Data Collection – A process of gathering information and data forms various sources such as database which holds past and present data, survey, social media platforms, and more.

 

  • Data Management – A process of managing the collected data and providing accurate and up-to-date data when the organization required it.

 

  • Data Mining – A process of extracting and analyzing large data volumes by implementing statistical, machine learning, and quantitative techniques.

 

  • Data Visualization – A process of presenting information and data in a visual format such as graphs, infographic images, charts, diagrams, video formats, and more.

 

  • Predictive Modelling – A statistical and mathematical technique used in business analytics to predict future trends and outcomes based on historical facts, data, and patterns.

 

  • Optimization – A process of finding a solution to problems that were discovered by leveraging the techniques and strategies of business analytics.

 

Types of Business Analytics

There are four segments of business analytics, each with its specifications.

 

Descriptive Analytics –

It is a branch of business analytics usually conduct in the preliminary stage of business planning. This branch is focusing on answering the question “What happened”? In this stage of business analytics, the organization review, analyze and interpret historical and present data to get a better understanding of the past and present performance of the concerned organization.

It also helps in identifying the latest trends, market patterns, customer behavior, business performance, and many other vital factors. Data collection, data mining, data visualization, statistical analysis, and reporting are the techniques used in descriptive analytics to help the organization in gaining better insight into the business operation and decision-making.

 

Diagnostic Analytics –

It is a branch of business analytics also known as discovery analytics which involved analyzing and interpreting data volumes to determine “why something happen” and helps the organization to get a better understanding of factors and reasons for past and present performance or events.

For example – it allows you to understand why sale increases or decreases, and why customer satisfaction increases or decreases. Diagnostic analytics helps to identify relationships, patterns, and the root cause of specific problems or events in data by enabling various techniques including machine learning, data mining, correlation analysis, and regression analysis.

By gaining insights from diagnostic analytics the organization can address and optimize the problem along with improving customer satisfaction and ultimately leading to better business performance.

 

Predictive Analytics –

This branch of business analytics helps organizations in predicting future outcomes by utilizing various techniques such as statistical and mathematical modeling, machine learning, decision tree, regression analysis, and neural network.

Leveraging these techniques or identifying patterns and relationships in data, an organization can predict future sales, customer behavior, and market trends, detect risk, future opportunities, and many other variables, and determine “what is likely to happen?”

 

Prescriptive Analytics

Prescriptive analytics is closely related to descriptive and predictive analytics because it focuses on actionable insights rather than monitoring the data problems when they occurred.

This is the most mature branch of business analytics which uses various techniques to help an organization in decision-making, determining optimal pricing strategy, reducing production cost, increasing efficiency, identifying market trends or channels, and achieving specific business objectives.

Prescriptive analytics leveraging techniques including advanced modeling, simulation, decision analysis, and optimization algorithms to evaluate multiple business scenarios and suggest favorable outcomes in various courses of business operations along with answering the question of “what action should be taken to achieve desired business goals” also recommend best action in a variety of available choices

 

By Implementing all these modes or channels of business analytics an organization can get their data and information efficiently analyzed and interpreted with the main goal of developing solutions to all kinds of business problems that many organizations face nowadays.

 

Needs and Importance of Business Analytics

Now we are going to understand the need and importance of business analytics for all kinds of business sizes.

 

Business Planning –

In every type of organization and industry, business planning plays a critical role in making businesses achieve specific objectives and goals. Business planning is incomplete without business analytics because planning needs data and information through which an organization planned its futuristic business objectives.

Business analytics contributes to business planning by analyzing data and information, identifying opportunities along with risks associated, forecasting and budgeting, competitive insights, customer insights, performance tracking, and more.

 

Decision Making –

In business analytics, big volumes of data and information are analyzed or interpreted with the help of various techniques, technologies, and strategies. These data are based on historical facts and present information on the economy of an organization and industry.

It is also considered an important tool in a competitive business environment by making data-driven decisions, providing precise and accurate information, improving accuracy, real-time decision-making, strategic decision-making, risk management, and more.

 

Increasing Efficiency –

Business analytics helps by providing insights via identifying areas of improvement in the business organization while conducting an in-depth analysis of data and information which ultimately results in increasing the business performance and generating more profits.

There are many ways through which an organization can streamline its business operations such as optimization of resources, real-time monitoring, automation with the help of machine learning algorithms, predictive measures, and more.

 

Risk Management –

As you already know that business analytics analysed or interpret bulk amounts of data which were based on past and present information. By analyzing data and information, an organization can identify market patterns and trends along with the economic situation of the business which may indicate potential risk.

Business analytics can help an organization or industry by providing insights about risks that may occur in the future and also enables one to perform scenario-based analysis to calculate different types of risk in a specific scenario.

An effective risk management strategy or technique helps an organization in identifying and managing potential risks, prioritize risk management efforts, optimum utilization of business resources, and more, which may result in enhancing business performance and reputation.

 

Competitive Advantage –

In business analytics, by analyzing data and information, an organization can gain insights into market trends, the latest fashion, customer behavior, industry performance, competitor activities, and more. These insights help organizations to differentiate themselves from competitors, compete on the market level, make informed decisions, and more which eventually lead organizations to stay ahead of their competitors.

 

Enhance Customer Experience –

Organizations or industries irrespective of their sizes can enhance their customer experience by implementing techniques and strategies of business analytics.

In business analytics, by identifying or analyzing customer data, tracking customer feedback, and customer behavior patterns along with anticipating their needs by leveraging predictive analytics, an organization can obtain insights into their preferences, requirements, and intriguing points which can help them to enhance their products and services.

Identifying and optimizing the areas of improvement, eliminating obstacles in the sales and service process, responding to their feedback in the best possible way, providing personalized recommendations, and more which ultimately lead to increased customer satisfaction and loyalty along with generating more revenues and promoting business growth.

 

Innovations –

Innovations are the sole requirement of every type of organization and industry to stand in today’s competitive market. Without innovation, no organization or industry can survive. Business analytics contributes a major role in the area of innovation through its futuristic techniques, technologies, and strategies.

Business analytics helps organizations to obtain insights into emerging trends, changing market trends and patterns, identifying new opportunities along with developing innovative products and services which ultimately lead an organization to achieve its goals.

 

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Career Opportunities in Business Analytics Jobs

I would believe that you understand the concept, types, needs, and importance of business analytics. Let us explore career opportunities in the field of business analytics jobs. Here are some major career opportunities given below.

 

1. Business Intelligence Analyst

Average salary: INR 4,00,000

 

Qualification and Skills Required:

  1. Bachelor’s degree in Business Administration, Information Technology, Statistics, Applied Mathematics, or other related fields.
  2. Strong analytical skills.
  3. Problem-solving skills.
  4. Knowledge of statistical methods and machine learning
  5. Excellent communication and presentation skills.

 

Business Intelligence Analyst is a profession in which an individual analyst work in harmony with all respective sector of an organization and industry such as sale and purchase, marketing and distribution, finance, inventory management, and production.

An analyst should have a strong knowledge of data mining, data warehousing, data visualization, statistical modeling, information technology, and descriptive analysis because they are responsible for gathering, analyzing, and interpreting large volumes of data and information from multiple sources.

Business Intelligence Analysts leverage various kinds of analytical techniques and strategies to collect all kinds of relevant and significant information to create reports, track performance, provide recommendations to improve business operations, and identify market trends and patterns in data which eventually help organizations on various stages. Due to the high demand for this profession, every type of business size hire Business intelligence Analyst.

 

2. Data Analyst

Average salary: INR 4,00,000

 

Qualification and skills required:

  1. Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, and other related fields.
  2. Knowledge of programming languages such as Python, R, and SQL.
  3. Critical thinking and decision making.
  4. Data analysis and statistical methods.
  5. Willingness to learn and upgrade new skills and technologies.

 

To become a Data Analyst, above mentioned qualifications and skill sets are required. In the profession of Data Analyst, an individual analyst has the responsibility of collecting, processing, analyzing, and interpreting large volumes of data to extract meaningful insights that help an organization or industry in improving business strategy and promoting business growth while making informed decisions.

Data Analysts leverage multiple analytical tools to identify trends and patterns in data, relationships in data, and areas of improvement along with the authenticity of data and present their insights concisely to the decision maker.

 

3. Data Scientists

Average salary: INR 10,00,000

 

Qualification and skills required:

  1. Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, physics, and other related fields.
  2. Knowledge of programming languages such as Python, R, JAVA, and SQL.
  3. Strong analytical and problem-solving skills.
  4. Familiar with machine learning algorithms and techniques.
  5. Critical thinking and delivering insights to stakeholders.

 

Data Scientists are expert professionals who are responsible for extracting meaningful insights from raw, unorganized, and unstructured data by implementing scientific methods, statistical models, and algorithms. They help organizations or industries in promoting business growth and improving business strategies by collecting, analyzing, and cleaning complex and raw sets of data developing predictive models, and collaborating with cross-functional teams.

 

4. Data Architect

Average salary: INR 12,00,000

 

Qualification and skills required:

  1. Bachelor’s or Master’s degree in Computer Science, Information Technology Statistics, Applied Mathematics, or other related fields.
  2. Deep understanding of database management systems such as MySQL, Oracle, or Microsoft SQL server.
  3. Knowledge of programming languages such as Python, Java, and SQL.
  4. Proficiency in data designing or data modeling.
  5. Strong analytical and communication skills,

 

Data Architects are senior-level professionals who work with business analysts, data analysts, developers, and IT managers to understand the data requirement of an organization and industries also responsible for creating, designing, and maintaining data models, data integration, data storage, and security. They help the organization by leveraging data or ensuring significant information is accessible efficiently and securely in a clear concise manner and presented to the stakeholders for informed decision-making.

 

5. Market Research Analyst

Average salary: INR 4,50,000

 

Qualification and skills required:

  1. Bachelor’s degree in business administration, marketing, and statistics.
  2. Industry Knowledge
  3. Strong analytical and communication skills
  4. Deep knowledge of research techniques and strategies.
  5. Documenting and reporting skills.

 

Market Research Analysts are professionals responsible for gathering, analyzing, and interpreting data and information from complex reports, surveys, opinion polls, and customer feedback which are related to market trends and patterns, industries, competitors, customer behaviors, and other factors affecting business performance.

They leverage various techniques and statistical analysis to obtain insights and help organizations or industries in making informed decisions about products and services, developing marketing strategies, and understanding market opportunities in the best possible way.

 

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6. Financial Analyst

Average salary: INR 6,00,000

 

Qualification and skill required:

  1. Bachelor’s or Master’s degree in Finance, Accounting, Business Administration, and related fields.
  2. CA, CFA, or CPA professional certification would be a plus point.
  3. Knowledge of industry trends and regulations.
  4. Familiar with financial software such as Excel or Bloomberg.
  5. Excellent communication and analytical skills
  6. Financial modeling skills

 

Financial Analysts are professional individuals who work in harmony with multiple sectors of an organization and industry including marketing, sales, accounting, and auditing to gather financial information such as financial statements, economic and market data, industry trends, and patterns to provide insights and recommendations for informed decision-making and help organizations in investment, budgeting, managing risk, identifying new opportunities and more.

Above mentioned career opportunities are in high demand in the field of business analytics jobs. Many organizations or major industries are hiring freshers and expert professionals according to their requirements and business size.

These organizations or industries also conduct training and development sessions for entry-level individuals which help employees in understanding the work, develop new skills, and enhance their in-built skills.

If you climb up on the ladder of these professions, you would get prompted to higher positions such as Business Analytics Manager. Chief Data Officer, Marketing Analyst Manager, Chief Analytics Officer, and more.

 

Frequently Asked Questions:

 

Question: What are the top three skills required in business analytics jobs?

Answer: The top skills required are as follows:

  • Critical Thinking
  • Decision Making
  • Problem-Solving

 

Question: Are business analytics jobs high-paying?

Answer: Yes, business analytics jobs are high-paying. A fresher in business analytics can get a salary between 3 to 7 lakh per annum or an experienced individual can earn between 8 to 20 lakh per annum. In some cases, the salary can go above 50 lakhs per annum only for veteran business analysts.

 

Question: Are business analytics jobs tough?

Answer: Yes, business analytics jobs require deep knowledge of data and information to help organizations in achieving business objectives so it is not an easy job. It is a challenging and demanding job that requires the ability and skills of critical thinking and statistical or mathematical modeling to gain insights to improve business operations.

 

Question: What is the difference between a business analyst, a Data scientist, and a Data analyst?

Answer: A business analyst is an individual who analyses and interprets data to identify business problems and opportunities for improvement in an organization whereas a Data Analyst is an individual who leverages various analytical and statistical techniques to analyze large volumes of data, identify patterns, and trends which will help organizations for informed decision making, On the other hand, Data Scientist is an individual who is responsible for analyzing, designing, developing a complex algorithm to extract insights from data and information by implementing various analytical techniques.

 

Question: Have analysts required knowledge of SQL in business analytics jobs?

Answer: Yes, SQL knowledge is required by every type of analyst. In business analytics jobs, analysts have to do deep research to extract significant information from large volumes of data.

 

Question: What are the types of software analysts use in business analytics jobs?

Answer: Microsoft Visio, Tableau, PowerBI, Bokeh, Plotly and Infogram are major software used by analysts.

 

Question: Who hires business analysts, data analysts, and data scientists?

Answer: Today every sector private or public and organizations and industries irrespective of their business size hire these analysts. For example, Management firms, healthcare and hospitality industries, IT-related industries, Financial firms such as the banking and insurance sector, and more.

 

Question: What are the top 5 business analytical companies that offer business analytics jobs?

Answer:  The top business analytical companies are:

1. Mu Sigma Analytics.
2. Fractal Analytics.
3. Manthan.
4. Latent View.
5. Tiger Analytics

 

Conclusion

In this article, you learned and understand the concept of business analytics its types, and its importance in today’s business world. And I hope that my article will help you to explore career opportunities in this demanding field of business analytics jobs. With the help of business analytics professionals, an organization or industry can grow its business, avoid any possible risk, improve business performance, make data-driven decisions, and more.

A Complete Guide to Investment Banking Analyst Jobs

Imagine yourself working in a dynamic environment where technology, innovation, and intuition have come together to help individuals embark on the journey of Investment Banking along with opening multiple and a variety of opportunities in the realm of investment. Are you ready to discover this insightful and illuminating journey of investment banking analyst jobs? So, tighten your seatbelt and be ready to gain comprehensive knowledge of the investment banking sector.

A complete guide to investment banking analyst jobs

This article helps individuals who are interested in finance, banking, and investment and desire to pursue their careers in related fields. This article holds all the necessary information from the scratch of Investment Banking to its core and also explores the career progression path of Investment Banking Analyst Jobs.

Get ready to swim in a fast-paced, high-pressure atmosphere where skills like strategic thinking, adaptability, accuracy, and resilience are essential. If you are a finance enthusiast then this role would be an exhilarating journey with challenges, obstacles, risks and that eventually transform you into a pro-investment Banking analyst. Let us start this journey with dedication and due diligence.

Table of Content

  • Introduction to Investment Banking
  • Key Roles of Investment Banking
  • Introduction to Investment Banking Analyst
  • Responsibilities of Investment Banking Analyst
  • Qualification & Skill Required for Investment Banking Analyst Jobs
  • Salary Expectation for Investment Banking Analyst Jobs
  • Top Companies Hiring Investment Banking Analysts
  • Career Growth in Investment Banking Analyst Jobs
  • Conclusion
  • Frequently Asked Questions

Introduction to Investment Banking

Investment Banking (IB) refers to an essential sector in the finance and banking industries. Why? Because financial institutions play a significant role and are responsible for managing.

Organise and provide multiple ranges of financial services such as facilitating complex financial transactions, supervising merger and acquisition deals, purchase and sale of stock, raising capital in the market, financial advice on investment opportunities, engaging in IPO underwriting, and more to government, business organizations, municipalities, and various other institutions.

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Key Roles of Investment Banking

Let us now look into some important aspects and key roles of investment banking.

  • Help in Raising Capital –

Investment Banking helps to raise capital & funds for various companies, business organizations, and governments by issuing stocks and bonds. For this process, Investment banks seek investors who are ready to invest a large amount of money and organizations who are inviting funds, in general, Investment banks work as a broker between both parties.

Here Investment banks support both the concerned parties in the underwriting process by determining the value of securities and the appropriate price for the buyer.

  • Facilitating Mergers & Acquisitions

Another key aspect of Investment banking is that it helps in facilitating Mergers & Acquisitions. There are many business organizations that want to buy, sell, and merge their business, so Investment banking assists these organizations by providing them with accurate consultation, strategic advice, and financial expertise by analyzing market conditions, the value of a specific business organization, and going through insights which obtained from the past analysis reports. Investment Banking also aids in negotiating deals with concerned parties and facilitating the transaction process efficiently.

  • Work as a Broker on Behalf of Clients

The bank holds numerous clients and these clients want to invest their money in multiple instruments to increase their capital investment and earn huge amounts of interest on their investment. Investment Banking engages all investment banks in trading and brokerage activities. On behalf of their clients, investment banks support buying and selling financial instruments including stocks, bonds, commodities, real estate, and derivative contracts.

  • Asset and Risk Management

There are many more roles and aspects of Investment Banking including asset management, risk management, wealth management corporate restructuring, and more.


They also perform activities like research and analytics by offering Investment Banking Analytics jobs to those who are interested in this field. Through hiring expert and experienced analysts who provide research and analysis by studying market conditions, investment opportunities, latest market trends, and other factors affecting.

With this process, they obtain significant insights and present all the reports to the concerned client which assist them in making informed investment decisions. Some Investment Banking Analysts work under the risk management team to ascertain possible risks associated with investment opportunities and focus on mitigating those risks.

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Introduction to Investment Banking Analyst

There are multiple companies, financial institutions, business organizations, and governments offering Investment Banking Analytics Jobs to interested individuals. Before exploring the roles, responsibilities, and qualifications required to become an Investment Banking Analyst we should understand the job profile priorly.

The position of Investment Banking Analyst is an entry-level position in the broad area of Investment Banking.

IB Analysts play a significant part as they offer their financial services and investment advice to support their seniors in closing a deals like mergers and acquisitions and aid clients and stakeholders by providing them insights related to investment opportunities by conducting research and analytics.

They are responsible for staying updated regarding the current affairs happening in the financial world.

Responsibilities of Investment Banking Analyst

Roles and Responsibilities of Investment Banking Analysts may differ according to various types of Investment Banking Analyst Jobs depending upon the specific organization they are working. Let us go through some common responsibilities of an Investment Banking Analyst.

  • Helps in Financial Analysis:

Investment Banking Analysts individuals are responsible for conducting extensive financial analyses including detailed valuation analyses, building multiple financial models, performing assessments of valuation, and analyzing financial transactions & relevant statements. Insights obtained from these analyses help to get futuristic knowledge of investment opportunities & risks associated.

  • Obtaining Financial Modelling:

IB Analysts are involved in the financial modeling process using spreadsheet software according to the specific requirements of concerned organizations & industries. These financial models play a crucial role in ascertaining investment opportunities by analyzing financial data by observing the impact of multiple scenarios and assumptions.

  • Knowledge of Market & Industry:

Having up-to-date knowledge of the market & industry is also a major responsibility of analysts in Investment Banking Analyst Jobs. They are responsible for staying updated regarding information related to investment opportunities and how it impacts investors’ behavior.

IB Analysts emphasize analyzing market conditions for investment by leveraging various analytical techniques including ascertaining the specific needs, predicting return on investments, analyzing competitor’s approaches, and more.

 

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  • Ascertaining Investors’ Behaviour:

Investors Behaviour also played a major part in deciding investment options and opportunities. Investment Banking Analysts directly or indirectly consider investors’ behavior as they analyze market trends and generate insights concerning investment opportunities. Sometimes IB Analysts indulge in finding out “how investors’ sentiments or emotions can affect the success of the investment transactions.

  • Attention to Major deals & transactions:

Investment Banking Analysts help in closing deals of mergers & acquisitions along with deals of potential financial transactions and IPOs with proper dedication & commitment. These varieties of deals are profitable to concerned industries so analysts are required to give their proper attention to grabbing these investment opportunities effectively by analyzing or reviewing all the significant details including legal documents, financial statements, offering prices, and more.

  • Research & Analytics:

Analysts in Investment Banking Analyst jobs are responsible for research and analytics to provide accurate insights regarding investment opportunities. IB Analysts work on two types of research criteria such as company-specific research and industry-specific research.

In company-specific research, analysts are responsible for analyzing companies by determining their net worth, profit earning, investment portfolio, and carry-through market trends. However, in industry-specific research analysts are responsible for analyzing industry trends, investment portfolios, the impact of mergers & acquisitions deals, and more.

  • Presentation of Documents & Building Client Relationships:

There are many other responsibilities performed by Investment Banking Analysts including preparing investment presentations & documentation and pitch books which hold significant information regarding investment opportunities to present to clients and senior bankers.

These documents aid investors in learning insights regarding specific investment options and also help investors in supporting negotiation and deal execution. These types of interaction & communication with clients result in building trust & relationships which also open the door to future investment options.

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Qualification & Skills Required For Investment Banking Analyst Jobs

For any specific professional job, it is required that an individual should have proper qualifications & knowledge of certain set skills. As for pursuing a career in the domain of Investment Banking Analytics, an individual is required to have a proper education in the related field along with essential skills.

 

Here are mentioned qualifications & skills that are necessary for Investment Banking Analyst Jobs.

  • A bachelor’s degree in Investment Banking, Finance, Business Analytics, and the concerned field helps individuals start their careers as Investment Banking Analysts.
  • Individuals can also start their careers in Investment Banking Analyst Jobs after completing a professional course called Chartered Financial Analysts.
  • Must have strong knowledge of finance including & accounting principles.
  • Have the foresight to interpret market & industry trends to perceive Investment opportunities.
  • Investment Banking Analysts possess strong analytical & quantitative skills to conduct deep research and build or implement financial models to gain investment insights.
  • He should have the accuracy and dedication to observe critical details in investment opportunities and offers.
  • He should have confidence in conveying new ideas with proper format.
  • IB Analysts should have the required skill set to analyze financial reports and potential investment deals along with Mergers and Acquisition deals.
  • Must have exceptional communication and writing skills.
  • IB Analysts should possess the ability to interact with clients in a professional manner and discover their investment desires.
  • Ability to work under pressure with focused deadlines.
  • Investment Banking Analysts should be Tech-Savvy and have knowledge of financial software.

 

Salary Expectations

Investment Banking Analyst jobs are significantly growing in today’s investment-driven world. These analysts play crucial roles in supporting the company they are working for and directly or indirectly contributing their services in expanding the investment domain of the country’s economy.

As we discussed above many important things regarding Investment Banking Analytics Jobs, now in this section we are going to explore the salary expectations of these professionals.

The salary of investment banking analysts professionals depends upon a variety of factors including the company they are hired for, location, the reputation of the concerned organization in the market or industry, candidates’ qualifications along with skills they possess, and most importantly how candidates perform or present themselves in the interview process.

 

Personality is considered an important factor in testing a candidate’s passion and attitude for the job. In India, investment banking analysts can expect entry-level salary ranges from 2.5 to 6 lakh per annum, average salary ranges from 7 to 12 lakh per annum and professionals who have experience in this field can get up to 25 lakh and above per annum.

Apart from salary, many companies also give bonuses and performance-based incentives from time to time.

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Top Companies Hiring Investment Banking Analysts

There are globally renowned companies, industries, business organizations, and financial institutions that are offering multiple kinds of services to their clients including investment banking services, financial services, consultation services, mergers & acquisitions, and many more.

For these services, they hire Investment Banking Analysts to assist them in fulfilling clients’ demands and emphasizing their focus on the company’s growth. Let us look into top companies that are hiring Investment Banking Analysts.

  • JP Morgan India
  • Goldman Sachs India
  • Verity Knowledge Solutions
  • HSBC
  • Deutsche Bank
  • Accenture
  • Nomura Holdings
  • Citibank India
  • Bank of America
  • Tata Consultancy Service

 

Here are the top 10 investment banking firms ranked globally that hire Investment Banking Analysts professionals. Working in any one of these industries is a dream for many Investment Banking Analysts.

Career Growth in Investment Banking Analytics Jobs

Every professional job has career growth opportunities, but how can an individual grow his career or get a promotion in a position (job role) along with monetary growth? Generally, individuals can get career progression and advancement opportunities when they dedicate their hundred percent potential to the concerned work and demonstrate their knowledge and skills to complete the assigned task efficiently.

The same process can get career progression to professional individuals who are pursuing or starting their role as an Investment Banking Analyst.

  • Analysts

This position belongs to entry-level individuals who are freshly graduated in the related field. Working as an analyst they gain knowledge and experience in the field and also demonstrate their strong skills and expertise such as analyzing financial statements, helping senior analysts with presentations or documentation also in creating pitch books, and more.

 

They are also responsible for managing or scheduling administrative tasks such as organizing meetings, setting up conference calls, and more.

  • Senior Analysts

After working as entry-level or junior investment banking analysts for two to three years with dedication, discipline, and accuracy, the top-performing individuals can get promoted to the position of Senior analyst. In this position work and responsibility increase and analysts have to perform complex tasks, lead several projects, train junior analysts, and more.

  • Investment Banking Associate

An individual can become an Investment Banking Associate in two ways the first path is getting the job after completing an MBA through a renowned university and the second path is to get promoted from Senior Analyst to Investment Banking Associate.

Their job responsibility and role grew in this position as they had to manage multiple activities including more client interaction, focusing on deal execution, finding the best investment opportunities for potential investors, assisting junior and senior investment bankers in concern activities, and more.

  • Vice President (VPs)

Individuals who have been working as an Investment Banking Associate for three or more years get promoted as Vice President. Vice Presidents play an important role in the field of Investment Banking as they have higher responsibility and accountability in the concerned industry.

In some major investment banks, they are referred to as Directors. The main responsibility of VPs is to observe the work of Investment Banking Associates on how they process the deal execution and how they deal with clients.

Their major role in Investment Banks is to make sure the deal is executed properly and efficiently. There are many other responsibilities they have to hold including more client interaction to obtain their investment behavior patterns, focusing on researching market trends and patterns regarding investment opportunities, managing transactions, leading teams, assisting senior bankers, and more.

  • Senior Vice President (SVP)

Here comes one of the most powerful job positions in an Investment Banking Firm. After completing a significant amount of years as Vice President an Individual gets promoted as Senior Vice President. In some major Investment Banks, they are referred to as Executive Directors.

They have a higher level of responsibility than Vice Presidents as they have to bring more clients or investors to the investment banks they are working for.

They are responsible for increasing business for investment banking by performing multiple activities such as finding potential investors, overseeing the deal execution process, leading multiple teams, observing the training process through guidance and sharing key information, contributing to the decision-making process, and being involved in strategic planning.

 

  • Managing Director (MD)

Top role or job position in the world of Investment Banking Analyst Jobs. Individuals who desire to reach this position or level are required to dedicate their knowledge and skills with diligence. The Managing Director (MD) is also known as a rainmaker in an Investment Banking Firm.

The main responsibility of the Managing Director is to represent the Investment Banking firm in a positive manner. The other responsibilities performed by the Managing Director of an Investment Banking firm are observing and managing overall investment business operations, building professional relationships with potential investors, predicting and managing risks associated with Investment offers, managing complex transactions, and identifying opportunities to invite more clients and generate more revenues.

Frequently Asked Questions.

Below are the FAQs related to investment banking analyst jobs.

Question: Is it hard to become an Investment Banking Analyst?

Answer: Yes, to build or pursue a career as an Investment Banking Analyst an individual should have proper knowledge both theoretical & practical of the related field and be ready to work with discipline, dedication, and strictness.

Question: Is an Investment Banking Analyst considered a good career option?

Answer: Yes, today with the growth of technologies investment in the capital market increasing rapidly. With the rise in investment opportunities, the jobs of investment banking analysts also increasing swiftly, Individuals who are interested in building their career in the financial sector as investment banking analysts should start focusing on the field.

Question: What are the specific working hours for Investment Banking Analysts?

Answer: The investment Banking Analyst job is not an easy task. Here an individual has to dedicate an average of 80 hours a week. In some cases the working hours exceed 100 hours of a week or sometimes analysts have to work on weekends.

Question: What are the Pros & Cons of Investment Banking Analyst Jobs?

Answer: Here are Some Pros & Cons of Investment Banking Analyst Jobs:

Pos

  • The biggest benefit of working as IB Analysts is the high earning potential
  • More learning opportunities along with gaining valuable financial knowledge and experience
  • Opportunity to work with senior & expert professionals in the industry.
  • Working as an IB Analyst opens the doors for career advancement.

Cons

  • IB Analysts have to work for long hours & sometimes on weekends or all night.
  • High work-pressure atmosphere including target deadlines, closing deals on time, and more which can disrupt the work-life balance.
  • There is a higher competitive market for the job role & for career progression opportunities,
  • No personal time for family, hobbies & social life.

Question: What is the salary of a fresher analyst at J.P. Morgan? 

Answer: J.P. Morgan is one of the largest & prominent global investment banks that hires fresher analysts with (0 to 10 years of experience) at salaries starting from 4.2 lakhs to 32 lakhs per annum.

Conclusion

Investment Banking is a broad topic to explore and discover. In this article, I mention one of the major aspects of investment banking. I hope that any individual who desires to build his career in the field of Investment Banking can read this article and obtain a significant amount of knowledge. This article guides individuals exploring the field of investment banking and job opportunities along with encouraging them to pursue their dreams to become Investment Banking Analysts. I mentioned all the necessary details that are required by individuals and also explained the hierarchy of career progression which motivates and generates passion for on focusing their desired goal.

 

IIM SKILLS vs ISB Data Analytics Course Review

Today with the increase in digitalization and its expansion multiple businesses, organizations, industries, multinational companies and corporations are dealing with large volumes of datasets which they are collected from various different types or sources. This oversupply of data volumes increases the demand or requirement for trained data or business analysts in their business in order to manage data-driven activities. The career opportunities in the industry of data analytics are rapidly growing and evolving. Many institutes and learning platforms are offering data analytics courses but unfortunately, they are unable to provide industry-based education and training in data analytics. This article presents a comparison between IIM SKILLS vs ISB data analytics course and advises every individual to go through the comparison and select the option of the suitable course according to their requirement.

IIM SKILLS vs. ISB Data Analytics Course Review

Table of Content 

  • What is Data Analytics
  • How Data Analytics Help Businesses 
  • IIM SKILLS Data Analytics Course
  • ISB Data Analytics Course
  • IIM SKILLS vs ISB Data Analytics Course: Course Eligibility
  • IIM SKILLS vs ISB Data Analytics Course: Course Syllabus
  • IIM SKILLS vs ISB Data Analytics Course: Course Highlights
  • IIM SKILLS vs ISB Data Analytics Course: Course Duration & Mode of Study
  • IIM SKILLS vs ISB Data Analytics Course: Course Certification
  • IIM SKILLS vs ISB Data Analytics Course: Course Fees
  • Conclusion
  • Frequently Asked Questions

What is Data Analytics?

Data analytics is a significant business process which is executed by expert data analysts or related professionals under which they analyze collected raw datasets in order to extract valuable information and meaningful insights to support the data-driven informed decision-making process. These analysts leverage numerous tools, techniques, methodologies and algorithms to research, analyse and process large datasets to discover styles, patterns, trends, traits, and correlations among each dataset. In simple words, the power and scope of data analytics enable business organisations and companies to make smart business decisions based on data-driven information rather than just intuitions in order to achieve desired business goals. 

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How Data Analytics Help Businesses

Data analytics plays a significant part in helping many business concerns irrespective of their business size by assisting them in various essential aspects. Here are some key points mentioned below on how businesses get benefits from data analytics. 

  • Data analytics helps in extracting valuable data-driven insights after processing, analyzing and transforming raw data into structured as well as organized formats.
  • Data analytics provide analyzed or processed results in a visualized format which helps businesses in understanding about market trends, customer behavior, needs and preferences along with current economic patterns.
  • Data analytics contribute to effective or enhanced decision-making by analyzing real-time data together with historical data which assists businesses in reducing irrelevant decisions and dependency on intuition and guesswork. 
  • Through leveraging data analytics tools and techniques, businesses are able to identify significant areas where money is irrelevantly expended. Data analytics provides advanced strategies and solutions by which businesses can lead to cost optimization along with mitigating inappropriate expenses.
  • Data analytics also help businesses in determining or identifying various types of risk factors that may negatively impact business processes and impedes business growth. However, data analysts use data analytics techniques to develop and implement risk management or mitigation strategies to support business concerns and ensure business continuity.
  • Predictive modelling is an important tool that comes under data analytics which helps businesses in forecasting and anticipating upcoming future trends in the market, predict evolving or changing market conditions and the rising demands of customers for specific products or services.

These are the most common benefits of data analytics that business organizations, companies and industries can avail only if they are able to utilize data analytics tools or techniques properly and efficiently with due diligence.      

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Advantages of a Career in Data Analytics

Before discussing a thorough contrast between IIM SKILLS vs ISB data analytics course let us explore multiple advantages in the realm of data analytics career in today’s data-driven world. There are numerous career benefits interested individuals can achieve by starting their career profession in the field of data or business analytics. Here are mentioned some relevant points that describe the advantages of pursuing a career in data analytics.

  1. In today’s data-centric world data analytics experts are in high demand because numerous business organisations as well as companies are seeking expert data analysts in order to streamline and manage their data-associated tasks efficiently.
  2. Handsome or lucrative salary packages consider one of the significant advantages of building a career in the data analytics profession. Individuals after completing their data analytics course from an authentic institute or online learning platform are able to secure placement in renowned companies at a decent salary package.
  3. Individuals after starting their career in the field of data analytics have the opportunity to work in diverse industries, including finance, hospitality, healthcare, marketing and more.
  4. Managing data and extracting significant information from enormous datasets is a continuous process which helps business concerns in achieving their desired or pre-planned business goals and this establishes job security among competent data analysts.
  5. The data analytic field is totally dependent upon technology and tools, individuals will get many opportunities in their career profession as data analysts to master or adapt themselves according to the industry demands and needs which help them to expand their knowledge in data analytics.

IIM SKILLS Data Analytics Course

IIM SKILLS is regarded as one of the renowned and globally recognized online learning platforms which was established in 2015 after the foundation of a successful educational blog. Their major focus is on providing world-class trending education through a medium of online learning at an affordable price structure. IIM SKILLS ranks within the top ten online/offline institutes offering data analytics courses globally. Their data analytics master course guides many interested individuals, including graduate freshers and working professionals who desire to build a successful career profession in the field of data analytics. The data analytics master course by IIM SKILLS is comprehensively designed by industry experts and curated under the observation of professional data analysts delivering individuals or course participants with a structured and organised course format which helps them in enhancing core knowledge of data analytics, equipping necessary qualifications and developing the requisite skills to excel in the realm of data analytics. Apart from the Data Analytics course they also offered multiple courses in the domain of finance, marketing and writing.

Later in this article, we are going to discuss IIM SKILLS data analytics master course eligibility criteria. course syllabus, major highlights, course duration or mode of study and certification along with fee structure. We will also explore IIM SKILLS vs ISB Data Analytics Course. 

ISB Data Analytics Course

The Indian Business School (ISB) is a globally famous and prestigious business school situated in India which was established in the year 2001. The ISB differentiates itself from other business schools by providing world-class as well as top-notch education and training in a diverse range of course programs, including graduate and postgraduate courses along with flagship one-year post-graduate programs in the subject of management. The data analytics course offered by ISB is delivered to or open for all interested individuals under the course name Applied Business Analytics in collaboration with Emeritus. Their course structure is crafted under the supervision of industry experts and taught by professionals along with eminent programme leaders helping course participants in equipping the required or necessary knowledge and skills in order to construct a successful professional career as a data or business analyst.

In the next section of the article, we are going explore the more crucial information about the data analytics course by contrasting IIM SKILLS vs ISB Data Analytics Course. Individuals are advised to understand the comparison with full of attention and decide according to their preferences requirements and needs. 

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IIM SKILLS vs ISB Data Analytics Course: Course Eligibility

The eligibility requirement is the most concerning and important factor that needs to be discussed and clearly mentioned by every course-providing institute and platform. Let us explore and look into IIM SKILLS & ISB Data Analytics Course eligibility criteria.

IIM SKILLS Data Analytics Master Course: Eligibility Criteria

  • Candidates must have completed their bachelor’s Degree in any discipline.
  • Candidates should have basic knowledge of computer applications & technology. 
  • Candidates who have knowledge in the subject of mathematics & statistics are considered an advantage.

ISB Applied Business Analytics: Eligibility Criteria

  • Individuals who have completed their graduation in any specialization are eligible to apply.
  • Diploma holders are also eligible to register themselves for the course.
  • Individuals with knowledge of computer applications and the tech world have an advantage.

IIM SKILLS vs ISB Data Analytics Course: Course Syllabus

In this section of the article, we are going to explore the data analytics course syllabus of both renowned institutes IIM SKILLS and the Indian School of Business (ISB). Here mentioned the syllabus structure in a comprehensive manner.

IIM SKILLS Data Analytics Master Course Syllabus

The syllabus or curriculum structure of the data analytics course offered by IIM SKILLS is divided into nine modules. Let us explore each module separately in detail.

Module 1: Data Analytics Using Advance Excel 

  • Introduction to Data Handling
  • Understanding Data Visualization in Excel
  • Concept of Data Manipulation
  • Introduction to Data Analysis & Reporting
  • Dashboards Overview
  • Creating Dashboards in Excel

Module 2: Data Analytics Using VBA

  • Introduction to Visual Basic Analysis
  • Understanding the Components of Programing Language
  • Working on Visual Basic Analysis
  • Programing Constrruction in VBA
  • Understanding Functions & Procedures in Visual Basic Analysis
  • Concept of Object & Memory Management

Module 3: Data Analytics Using SQL

  • Introduction to Structured Query Language  (SQL)
  • Concept of Relation Database Management System (RDBMS)
  • Understanding Data-Based Objects Creation
  • Introduction to Data Manipulation in SQL
  • SQL Server Reporting Services
  • SQL Server Integration Services

Module 4: Data Analytics Using Power BI

  • Introduction to Power BI
  • Power BI & Functions
  • Concept of Data Preparation
  • Understanding Data Modeling
  • Learning Adding & Removing Columns or Rows
  • Introduction to Data Analysis Expression
  • Understanding the Development of Reports through Power BI

Module 5: Data Analytics Using Python-1

  • Introduction to Statistics
  • Introduction to Mathematical Foundations
  • Understanding Analytics & Data Science
  • Introduction to Python Essentials
  • Concept of Numerical Python
  • Understanding Pandas
  • Learning Cleansing Data with Python 

Module 6: Data Analytics Using Python-2

  • Introduction to Data Analysis Using Python
  • Understanding Basic Visualisation Tools
  • Data Visualization With Python 
  • Introduction to Advanced Visualisation Tools
  • Concept of Statistical Methods
  • Learning Hypothesis Testing

Module 7: Data Analytics Using Tableau

  • Introduction to Tableau
  • Understanding Data Handling
  • Building Advanced Report
  • Concept of Table Calculations

Module 8: R for Data Science

  • Introduction to Data Importing & Exporting
  • Understanding Data Analysis
  • Concept of Data Visualization with R
  • Data Manipulation with R
  • Understanding Regression Models
  • Testing of Statistical Methods

Module 9: Data Analytics Using Alteryx

  • Introduction to Alteryx
  • Fundamental of Alteryx
  • Understanding Alteryx Settings
  • Concept of Alteryx Designer Interface

ISB Applied Business Analytics Syllabus

The syllabus or curriculum structure of the applied business analytics course offered by the Indian School of Business (ISB) is categorized into twelve different modules. Let us comprehensively and separately explore each module in detail.

Module 1: Introduction to Business Analytics

This module covers a basic and significant introduction to business analytics, including examples, preliminaries, problem formulation and an overview of various analytics algorithms along with machine learning frameworks.

Module 2: Data Preliminaries for Analytics

  • Introduction to Data Basic
  • Data Dichotominies
  • Types of Data 
  • Data Cleaning 
  • Data Wrangling
  • Understanding Common Sources of Data

Module 3: Regression – Descriptive & Predictive Analytics

  • Linear Regression
  • Descriptive & Predictive Analytics
  • Evaluation of Regression Models
  • Interaction Effect

Module 4: Logit Model: Classification Analysis

  • Introduction to Logistic Regression 
  • Understanding Multinomial Legit Model

Module 5: Factor Analysis & Business Analytics Expression

  • Factor Analysis
  • Factorising Data
  • Examples of Factor Analysis
  • Introduction to Business Analytics Expression

Module 6: Visualisation – Perceptual Mapping for Business Analytics

  • Introduction to Visulisation
  • Understanding Visulizing Data
  • Text Mapping
  • Interpretation of Visulizing Output

Module 7: Decision Tree for Business Analytics

  • Introduction to Decision Tree
  • Understanding Classification of Trees
  • Concept of Regression Trees

Module 8: Cluster Analysis – Segmentation for Business Analytics

  • What is Cluster Analysis
  • Introduction to Cluster Action
  • Understanding Segmentation in Business

Module 9:  Elementary Text Analysis

  • Introduction to Elementary Text Analysis
  • Understanding Basic Descriptive Text Analysis
  • Concept of Sentiment Mining in Text Analysis

Module 10: Network Analytics for Business Analytics

  • Introduction to Network Analytics
  • Concept of Social Network Analysis
  • Network Analytics App
  • Testing Networks

Module 11: Experiments & Casual Inference

This module helps course participants in understanding the use of business analytics in the real world through practical experiments and hypotheses for business analytics in casual research.

Module 12: Capstone 

This module helps course participants in skilling themselves in the field of business analytics by doing assignments and capstone projects.

IIM SKILLS vs ISB Data Analytics Course: Course Highlights

Data analytics courses or Business Analytics courses are somewhat the same types of courses in which data is utilized in order to achieve business goals and objectives. Every course-providing institute or online learning platform offers comprehensively designed courses in the subject of data analytics. However, each course provider provides different types of perks and benefits to every individual who is looking forward to registering for their courses. The perk and benefits are considered course highlights which we are going to discuss below in a detailed way.

IIM SKILLS Data Analytics Master Course Highlights

  • The course program is based on data-driven tools training.
  • Course participants can get lifetime Acess to lectures, Resources and Recordings
  • 24*7 support is also provided to each participant
  • Participants also get a 2-Month Guaranteed Internship
  • 100% money-back guarantee if individuals are not satisfied
  • Free Demo of the Course is also available 
  • Taught by faculty of professional industry-experts
  • Interview guarantee & job support
  • Participants have the opportunity to work on 7+ live projects or 10+ case studies
  • Master 7+ data analytical tools
  • Participants also have a choice of model selection according to their interest.

ISB Applied Business Analytics Course Highlights

  • Taught by top ISB faculty members and trained experts.
  • Candidates also get pre-recorded to support self-paced learning.
  • Industry-based assignments & quizzes
  • Participants also are able to get on 17+ discussion boards.
  • Participants also get faculty built-in apps
  • Resume building & interview preparation
  • IIMjobs pro membership
  • LinkedIn profile optimization

IIM SKILLS vs ISB Data Analytics Course: Course Duration & Study Mode

In this section of the article, we are going to discuss the course duration and mode of study of the data analytics course provide by IIM SKILLS or the applied business analytics course provided by the Indian School of Business.

IIM SKILLS Data Analytics Master Course Duration & Study Mode

The course duration of the data analytics master course is 6 months program with 2 months of internship and the mode of study is online live learning classes.

ISB Applied Business Analytics Course

The course duration for the ISB applied business analytics course is 12 weeks program with 4-5 hours/week and the mode of study is live online classes. 

IIM SKILLS vs ISB Data Analytics Course: Course Certification

The certification is the most important criterion for which individuals are interested to register themselves in their choice of courses. Certification helps course participants to get globally recognized in their area of study and it also supports in building their resume credentials and achieving desired desired career profession.

IIM SKILLS Data Analytics Master Course Certification

The certification offered by IIM SKILLS is recognized by the government of India under MSME to all course participants after completing their data analytics course. Their certificate holds significant value on a global level. 

ISB Applied Business Analytics Course Certification

The Indian School of Business awarded an industry-recognised and globally acknowledged certificate after successfully completing their applied business analytics course.

IIM SKILLS vs ISB Data Analytics Course: Course Fees

The course fee is a significantly important aspect which many individuals consider before taking admission or registering themselves for any courses. This section of the article is going to explore the fee structure of data or business analytics courses offered by IIM SKILLS and ISB.

IIM SKILLS Data Analytics Master Course Fee Structure

The fee for the data analytics master course offered by IIM SKILLS is INR 49,900 excluding GST.

ISB Applied Business Analytics Course

The fee for the applied business analytics course offered by the Indian School of Business is INR 1,80,000 + Gst which is paid by participants within 7 days of post-selection or admission. The No-Cost EMI option is also available.

Conclusion

Data analytics courses are considered one of the digitally modern-world trending courses which offer many individuals a diverse career path in the field of data analytics. Individuals who sincerely desire to build a successful career in the domain of analytics are advised to choose the best institute to pursue data analytics courses efficiently. This article aims to provide a thorough comparison between IIM SKILLS vs ISB data analytics course which helps numerous individuals in taking favourable decisions according to their needs and requirements. 

Frequently Asked Questions

Q. What are the top 10 institutes providing data analytics courses in India?

There are several renowned institutes providing data analytics courses in India. Below mentioned a list of the top 10 institutes and online learning platforms providing data analytics courses in India.

  • IIM SKILLS
  • Imarticus Learning
  • Indian School of Business
  • Simplilearn
  • IMS Proschool
  • Edvancer Eduventures
  • Learnbay
  • Ivy Professional School
  • Udacity
  • Analytixlabs

Q. What skills should I possess to pursue data analytics courses?

Below mentioned are the top skills which individuals should possess prior to starting any data or business analytics courses. 

  • Knowledge of  Basic Programming Language
  • Understanding of Statistics, Mathematics & Probability
  • Problem-Solving Skills
  • Critical Thinking Ability
  • Have Keen Curiosity
  • Communication Skills
  • Decision-Making Skills
  • Multitasking
  • Observation & Management Skills
  • Attention to Details

Q. Are data analytics courses hard to pursue?

The answer to this question is dependent on an individual’s background. For example, if an individual has prior knowledge in analytics-associated subjects then they do not face any difficulty in purse data analytics courses. On the contrary, some individuals may find it challenging and hard to pursue due to its technical nature. Overall, data or business analytics courses often demand and require dedication as well as significant amounts of effort to grasp or understand the concepts and practical applications effectively.

IIM SKILLS vs NPTEL Data Analytics Course Review

The demand for expert data analytic professionals has been rising rapidly which opens a gateway of opportunities for numerous interested individuals in building or pursuing careers in the field of data analytics. Digitalisation plays a major part in wide-spreading the needs and requirements of data analytics professionals as we see advertisements of vaccines on a variety of job profiles associated with data analytics on various job portals, including LinkedIn, naukari.com, indeed and more. Here the question arises of how individuals pursue their careers in data analytics as we are also witnessing the demand in the roles of data analysts, data scientists, business analysts and other related professionals. This article portrays a thorough comparison between IIM SKILLS vs NPTEL data analytics course which guide course participants to decide on their choice of course accordingly. Join this expedition through which we explore significant topics of comparison such as course syllabus, fee structure, certification and more.

IIM SKILLS vs NPTEL Data Analytics Course

Table of Content 

  • Why Pursue a Data Analytics Course
  • IIM SKILLS Data Analytics Course
  • NPTEL Data Analytics Course
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Eligibility
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Syllabus
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Highlights
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Duration & Mode of Study
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Certification
  • IIM SKILLS vs NPTEL Data Analytics Course: Course Fees
  • Conclusion
  • Frequently Asked Questions

Why Pursue a Data Analytics Course

Data analytics course is considered one of the modern generations or trending as well as rapidly growing courses in today’s data-driven world. Why pursue a data analytics course? The answer to this question may vary according to different individuals. However, the analytics industry witnessed significant growth in career opportunities within the sector. Many companies and business organizations along with corporations and industries are dealing with large amounts of data volumes every day which increases the demand for expert data analytics professionals to efficiently manage or optimize these data associating activities. Let us now explore “why pursue a data analytics course” in the below-mentioned points. 

  • Individuals who completed their data analytics course are able to develop various types of analytical skills which help them in taking informed-data-driven decisions.
  • Course participants are also able to equip essential types of data analytical skills such as data visualization, data handling, data manipulation, statistical analysis, probability and more.  
  • The course also provides teaching on multiple types of significant topics which help participants to perform their learning practically such as finding hidden patterns among datasets, extracting information, identifying trends and analyzing correlations among each dataset.
  • One of the significant reasons to pursue a data analytic course is because of its high demand which also portrays the availability of diverse career options.
  • Expertise in Data analytics enhances the chances for employability within a diverse range of career opportunities.
  • The course also guides their learners to understand the competitive edge in the market by leveraging information which is extracted from data volumes. Numerous business concerns and companies along with industries are looking forward to hiring trained and skilled data analytics professionals.
  • Data analytics experts or related professionals play a crucial role in predicting customers, preferences and behavior together with market and industry trends.
  • The course also supports their learners in developing problem-solving and critical thinking skills which they can use while analyzing large data volumes.
  • The utilization of Data Analytics also empowers multiple or a variety of businesses to make important decisions regarding efficient allocation as well as management of resources. 

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IIM SKILLS Data Analytics Course

IIM SKILLS is one of the prominent online educations providing platforms which was established in 2015 after the successful foundation of an educational blog. They offer courses in various trending subjects including finance, analytics, marketing and writing in which many individuals desire to build their professional as well as passionate career. Today more than 18,500+ participants are trained and also secured jobs with average salaries between 3 to 5 lakh per annum & working professionals are able to achieve at least a 15% hike in their salary after completing their data analytics master course by IIM SKILLS.

They are globally renowned for providing world-class as well as industry-based education and practical training to their course participants along with internship support to gain real-world exposure. Their data analytics master course empowers individuals including fresher graduates, working professionals and enthusiasts in building their professional careers in the domain of analytics.

IIM SKILLS data analytics master course is curated by industry experts under the supervision of professionals and also taught by expert faculty members. Individuals who pursue the data analytics course offered by IIM SKILLS are able to equip the necessary qualifications together with knowledge and essential analytical skills which help them to excel in real-world data analytics jobs.

NPTEL Data Analytics Course

The NPTEL stands for National Programme on Technology Enhanced Learning which is established and organized by seven prominent institutes of technology, including Kanpur, Delhi, Bombay, Madras, Roorkee, Guwahati and Kharagpur. The programme is also recognized as an initiative supported by the Ministry of Education India. The aim of NPTEL offers a variety of online courses in multiple disciplines such as engineering, computer science, electrical engineering, communication engineering and various other 235 courses related to technical subjects.

The National Programme on Technology Enhanced Learning (NPTEL) offers a comprehensive course on data analytics with Python to individuals assisting them in building or enhancing their careers in the analytics domain. Their course is designed or taught by experts from IIT Roorkee because the course is delivered in association with IIT Roorkee.

NPTEL data analytics course with Python is delivered in a recorded video lecture format and is also accompanied by slides, assignments, quizzes or discussions. The course is masterfully designed or crafted in order to be accessible to a wide range of learners, including students, working professionals, and enthusiasts.

IIM SKILLS vs NPTEL Data Analytics Course: Course Eligibility

The eligibility requirement to pursue any course is regarded as an important factor which is required to take into consideration by individuals before registering for any course. Course-providing platforms are advised to clearly elaborate on the course eligibility criteria in detail. Below mentioned is the comparison of eligibility criteria between the IIM SKILLS vs NPTEL data analytics course.

IIM SKILLS NPTEL
Candidates should have completed their basic education of 10+2.Individuals must have completed their school education.
Candidates who completed their bachelor’s degree in any subject domain are eligible to apply for the course.Graduates/Postgraduates in any field can apply for the course.
Woking professionals who are looking for switching career professions or desiring to upgrade their current position can also applyIndividuals from different backgrounds can also register themselves.
Basic knowledge of mathematics, computers and technology is considered an advantageNo prerequisites are required.

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IIM SKILLS vs NPTEL Data Analytics Course: Course Syllabus

Exploring the course syllabus before taking admission is an interesting task pursued by many interested individuals. It is important to learn and understand the course syllabus before registering. Let us now explore the comprehensive course syllabus structure of the IIM SKILLS & NPTEL data analytics course in a detailed way.

Syllabus: Data Analytics Master Course, IIM SKILLS

Here mentioned the module-wise curriculum structure of the data analytics master course offered by IIM SKILLS to all interested individuals.

Module 1: Data Analytics Using Advance Excel (9 hours)

  • Introduction to Data Handling
  • Understanding Data Visualization in Excel
  • Concept of Data Manipulation
  • Introduction to Data Analysis & Reporting
  • Dashboards Overview
  • Creating Dashboards in Excel

Module 2: Data Analytics Using VBA ( 15 hours)

  • Introduction to Visual Basic Analysis
  • Understanding the Components of Programing Language
  • Working on Visual Basic Analysis
  • Programming Construction in VBA
  • Understanding Procedures & function in Visual Basic Analysis
  • Concept of Object & Memory Management

Module 3: Data Analytics Using SQL ( 39 hours )

  • Introduction to Structured Query Language (SQL)
  • Concept of Relational Database Management System (RDBMS)
  • Understanding Data-Based Objects Creation
  • Introduction to Data Manipulation in SQL
  • SQL Server Reporting Services
  • SQL Server Integration Services

Module 4: Data Analytics Using Power BI ( 24 hours )

  • Introduction to Power BI
  • Power BI & Functions
  • Concept of Data Preparation
  • Understanding Data Modeling
  • Learning Adding & Removing Columns or Rows
  • Introduction to Data Analysis Expression
  • Understanding the Report Development through Power BI

Module 5: Data Analytics Using Python-1 ( 10 hours )

  • Introduction to Statistics
  • Introduction to Mathematical Foundations
  • Understanding Analytics & Data Science
  • Introduction to Python Essentials
  • Concept of Numerical Python
  • Understanding Pandas
  • Learning Cleansing Data with Python 

Module 6: Data Analytics Using Python-2 ( 10 hours )

  • Introduction to Data Analysis Using Python
  • Understanding Basic Visualisation Tools
  • Data Visualization With Python 
  • Introduction to Advanced Visualisation Tools
  • Concept of Statistical Methods
  • Learning Hypothesis Testing

Syllabus: Data Analytics with Python, NPTEL

Let us now comprehensively discuss or explore the syllabus structure of data analytics with the Python course offered by NPTEL. Their curriculum structure is categorized or divided into twelve units. Here mentioned unit wise syllabus structure of the course. 

Unit 1: Introduction to Data Analytics

  • Fundamentals of Python-1
  • Fundamentals of Python-2
  • Concept of Central Tendency & Dispersion-1
  • Concept of Central Tendency & Dispersion-2

Unit 2: Probability

  • Introduction to Probability-1
  • Introduction to Probability-2
  • Understanding Probability Distribution Part 1 
  • Understanding Probability Distribution Part 2 
  • Understanding Probability Distribution Part 3

Unit 3: Python Demonstration

  • Learning & Understanding Python Demo for Distribution 
  • Introduction to Sampling
  • Concept of Sampling Distribution
  • Understanding Distribution of Samples, Variance & Population
  • Introduction to Confidence Interval Estimation
  • Concept of Confidence Interval Estimation: Single Population Part 1
  • Concept of Confidence Interval Estimation: Single Population Part 2

Unit 4: Hypothesis Testing

  • Introduction to Hypothesis Testing 
  • Concept of Hypothesis Testing-1
  • Concept of Hypothesis Testing-2
  • Concept of Hypothesis Testing-3
  • Understanding Errors in Hypothesis Testing
  • Hypothesis Testing: Two-Sample Test-1 

Unit 5: Hypothesis Testing & ANOVA

  • Hypothesis Testing: Two-Sample Test-2
  • Hypothesis Testing: Two-Sample Test-3
  • Introduction to ANOVA
  • Concept of ANOVA Part-1
  • Concept of ANOVA Part-2

Unit 6: Regression

  • Introduction to Random Block Design (RDB)
  • Two Way ANOVA
  • Introduction to Linear Regression
  • Understanding Linear Regression-1
  • Understanding Linear Regression-2
  • Understanding Linear Regression-3

Unit 7: Regression Model

  • Introduction to Regression Model & Estimation
  • Regression Model Residual Analysis Part 1
  • Regression Model Residual Analysis Part 2
  • Understanding Multiple Regression Model Part 1
  • Understanding Multiple Regression Model Part 2
  • Concept of Categorical Variable Regression

Unit 8: Logistic Regression

  • Understanding Maximum Likelihood Estimation-1
  • Understanding Maximum Likelihood Estimation-2
  • Introduction Logistic Regression-1
  • Introduction Logistic Regression-2
  • Difference between Linear Regression Model & Logistic Regression Model

Module 9:  Performance & Analysis

  • Concept of Confusion Matrix Part 1
  • Concept of Confusion Matrix Part 2
  • Understanding the Performance of Logistic Model-1
  • Introduction to Regression Analysis
  • Introduction to Model Building
  • Understanding Interaction between Regression Analysis & Model Building

Unit 10: Chi-Square & Cluster Analysis

  • Introduction to Chi-square of Independence
  • Understanding the Chi-square of the Test 
  • Concept of Chi-square Goodness
  • Introduction to Cluster Analysis Part 1
  • Cluster Analysis – Introduction Part 2

Unit 11: Cluster Analysis

  • Cluster Analysis – Introduction Part 3
  • Understanding Advance Cluster Analysis
  • Concept of K-mean Clustering
  • Introduction to Hierarchical Method of Clustering -1 

Unit 12: Regression Trees

  • Introduction to Hierarchical Method of Clustering -2
  • Introduction to Regression Trees
  • Understanding Classification of Regression Trees
  • Understanding Measure of Attribute Selection

IIM SKILLS vs NPTEL Data Analytics Course: Course Highlights

IIM SKILLS & NPTEL data analytics courses are ranked under the top ten data analytics courses offered to every individual. Today many institutes or online course-providing platforms deliver extensively curated courses in various career-building subjects and understanding desired course syllabus is not the only criterion on which individuals decide to select the course because each course provider offers different as well as multiple types of benefits and perks. In the case of the data analytics course offered by IIM SKILLS and NPTEL, let us explore and contrast perks and benefits as their course highlights. Below mentioned the comparison table in a detailed way.

IIM SKILLS NPTEL
Course-based data-centric tools training provided to every course participantParticipants taught by online video lectures: Self-paced learning 
Lifetime access to course resources, including study materials, recorded lectures and moreLifetime access to recorder lectures, books and assignments
Technical Support: 24*7Email support available
Guaranteed two non-paid Internship for industry exposure  No internship
Free course demo classCandidates can watch course demos on youtube or the NPTEL website
Interview & Job support assistanceCourse in collaboration with IIT Roorkee
Work on 7+ live projects & 10+ case studiesParticipants can download assignments or e-books from the website
Equip mastery on 7+ data analytical toolsParticipants can able to work on available tools
100% money-back guarantee if not satisfiedNo refund available

IIM SKILLS vs NPTEL Data Analytics Course: Course Duration & Study Mode

After discussing the course syllabus & highlights of the data analytics course offered by IIM SKILLS & NPTEL now let us look into the duration of the course and study mode of both data analytics courses. Individuals should check whether they want to pursue the course online through online mode or offline mode along with the compatible course duration.

Course Duration & Study Mode, Data Analytics Master Course, IIM SKILLS

The duration of the data analytics master course offered by IIM SKILLS is six months comprehensive designed program with 160+ hours of lectures along with 100+ hours of practical assignments. The online live classes are their mode of study which is held on every Saturday and Sunday from 10:00 AM to 1:00 PM.

Course Duration & Study Mode, Data Analytics Course with Python, NPTEL

The duration of the data analytics course with Python offered by NPTEL is twelve weeks of self-study paced comprehensive curated program that comes with high-quality pre-recorded lectures together with links through which course participants are able to download assignments and e-books. Course participants should have to complete the syllabus anywhere or anytime but before the date of the exam.

IIM SKILLS vs NPTEL Data Analytics Course: Course Certification

Obtaining a globally recognised certificate after pursuing a course shows that the individual has knowledge and skills in the associated subject and also makes course participants eligible to apply for their desired career profession according to their choice of interest. The certificate also contributes to building their resume as well as adding credentials respectively.

Course Certification, Data Analytics Master Course, IIM SKILLS 

IIM SKILLS provide their course participants course completion certificate which is authorised under MSME and approved by the government of India together with a letter of recommendation after completing the internship period. Their certificate holds immense significance in the industry helping many participants in securing jobs in the related field. 

Course Certification, Data Analytics Course with Python, NPTEL

In order to obtain the certificate in data analytics course with Python by NPTEL, course participants are required to fulfil some necessary criteria which are mentioned below.

  • Candidates should get a globally recognised certificate after appearing for an online remote proctored exam and securing a minimum 50% exam score out of 100.
  • Candidates also secured a 50% assignment score in 9 out of 12 assignments to receive the certificate.

After fulfilling the above-mentioned criteria, course participants have become eligible to receive an online globally acknowledge certificate in data analytics with Python by NPTEL in association with IIT Roorkee. 

IIM SKILLS vs NPTEL Data Analytics Course: Course Fees

Exploring the course fee structure offered by different institutes and online learning platforms before registering for any course is considered one of the important factors. In this section of the article, we are going to extensively discuss IIM SKILLS and NPTEL data analytics course fee structure which they offered to every interested individual. 

Fee Structure. Data Analytics Master Course, IIM SKILLS 

The course fee of the IIM SKILLS data analytics master course is INR 49,900 + Taxes. 

Fee Structure. Data Analytics Course with Python, NPTEL

The fee for the self-paced data analytics course with Python offered by the NPTEL is INR 3,000 + GST and course participants also have to pay exam fees of INR 1,500 + GST.

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Conclusion

Data analytics is one of the most demanding technology-driven and rapidly growing fields where many individuals desire to build a successful career profession. Individuals who are looking for or seeking an authentic path through which they can get themselves inside the data analytics world are advised to make themselves qualified by pursuing data analytics courses or any other course associated with data from reputed as well as globally recognized institutes or online education providing platforms. This article focuses on providing a thorough and detailed comparison between IIM SKILLS vs NPTEL data analytics course which helps numerous individuals from fresher graduates to working professionals to build their careers in the diverse field of data analytics.

Frequently Asked Questions

Q. What are the top career opportunities individuals can get after pursuing a data analytics course?

Individuals after successfully completing a data analytics or related course from a prominent course-providing institute or online platform have become eligible to get multiple career opportunities across various sectors and industries including finance, hospitality, healthcare, technology and more. They can secure their job positions in many diversified profiles such as data analysts, business analysts, data scientists, research, operation analyst, equity research analysts and more.

Q. How much salary package I could receive after completing a data analytics course?

The salary package you could receive after completing a data analytics or related course depends upon numerous factors including the location of the job, industry or sector in which you secured a job, certification and industry experience along with the specific role you are able to get pursue. However, if you get a job in an enter-level position the average salary package starts from INR 3,00,000 to 6,00,000 per annum and if you have work experience then the Salary package ranges from INR 10,00,00 per annum or above. 

Q. Can I be able to pursue a data analytics course along with my job?

Yes, there are many institutes and authentic online education platforms offering customized course programs, part-time course programs, self-paced course programs and weekend course programs in data analytics which support working professionals to pursue courses according to their flexibility and contribute to balancing between your job and studies.  

IIM SKILLS vs Data Trained Data Analytics Course Review

The analytical industry is rapidly emerging within every major sector of the economy. Today data is considered a significant factor in driving business concern towards achieving their desired business objectives or target goals. Data analytics now appears as one of the renowned and highly monetary rewarding career professions which many individuals aspire to pursue. From fresher graduates, enthusiasts and working professionals desiring to start or build their successful careers within the analytics industry. This article will guide every curious individual on how to start a career in the domain of data analytics. In this article, we are going to establish an extensive as well as in-depth comparative analysis between IIM SKILLS & Data Trained data analysts course. The article will explore every necessary information regarding data analytics offered by both prominent online education-providing ed-tech companies. You are welcome to join us in this transformative journey through which we are going to explore relevant topics of comparison such as course eligibility, syllabus, admission process, fee structure, certification and more.

IIM SKILLS vs Data Trained Data Analytics Course

Table of Content

  • IIM SKILLS Data Analytics Course
  • Data Trained Data Analytics Course
  • IIM SKILLS vs Data Trained Data Analytics Course: Course Eligibility
  • IIM SKILLS vs Data Trained Data Analytics Course: Course Syllabus
  • IIM SKILLS vs Data Trained Data Analytics Course: Course Highlights
  • IIM SKILLS vs Data Trained Data Analytics Course: Course Duration / Mode of Study
  • IIM SKILLS vs Data Trained Data Analytics Course: Course Certification
  • IIM SKILLS vs Data Trained Data Analytics Course: Admission Process & Course Fees
  • Conclusion
  • Frequently Asked Questions

IIM SKILLS Data Analytics Course

Trained more than 18,500+ course participants including graduate freshers, working professionals and enthusiasts ranked under the top ten data analytics courses providing online institute is IIM SKILLS. IIM SKILLS was established in 2015 after the foundation of a successful educational blog offering trending as well as most demanding along with career-building courses in various subjects, including marketing, writing, finance and analytics. Their data analytics master course is extensively designed and masterfully curated by a team of expert professionals according to an industry-based curriculum structure. Individuals after pursuing the IIM SKILLS data analytics master course become trained in various types of data-driven analytical skills or knowledge which help them to secure high-paying jobs within the analytics industry and working professionals are eligible to achieve career advancement opportunities along with a minim 15% hike in the salary package. 

Data Trained Data Analytics Course

Data Trained renowned ed-tech institute is also listed among the top ten data analytics courses providing online education platforms globally. The data-trained education was established in 2012 with a vision of providing quality professional education along with access to key knowledge, tools and inspiration for every interstate individual and enthusiast. Data Trained offers multiple types of data analytics or data science courses to all individuals and in this article, we are going to discuss one of the famous data-trained data analytics courses which is the PG Program in Data Analytics. The course is designed under the observation or guidance of experienced industry professionals and also taught by faculty of expert trainers. After completing this data analytics course program participants become job-ready and dedicate their 100% to excel in the analytics industry. Apart from data analytics courses, data training also provides professional education across multiple quality programs in emerging technologies with practical training such as machine learning, cloud computing, artificial intelligence, big data, digital marketing and more.    

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IIM SKILLS vs Data Trained Data Analytics Course: Course Eligibility

As we know that every course has its specific eligibility criteria set which is defined by the course-providing institute or platform. The eligibility requirement is necessary because it enunciates the essential or required pre-requisitive which should carefully consider by every individual prior to registering in any course. In this section of the article, we are going to look into the comparative analysis of eligibility criteria between IIM SKILLS vs Data Trained data analytics course. Below I mentioned detailed as well as comprehensive information regarding the eligibility criteria for both data analytics courses.

Eligibility Criteria: Data Analytics Master Course, IIM SKILLS

  • Interested candidates must have completed their basic education (10+2).
  • Candidates who completed their graduation or in their final year of graduation are also eligible to apply for the course.
  • There is no compulsory specialization required in graduation. However, candidates who have pursued subjects related to computer science, information technology, and mathematics have more advantages in starting their career in the field of data analytics. 
  • Working professionals who desire to upgrade their knowledge and want to switch careers in data analytics can also apply.
  • Basic knowledge of the computer & tech world.

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Eligibility Criteria: PG Program in Data Analytics, Data Trained

  • Candidates should be 18 years old to register themselves in PG Program in Data Analytics.
  • Candidates must hold a bachelor’s degree in any discipline from an accredited institute.
  • Candidate Should be Proficient in spoken and written English as the course structure is delivered in an English language format. 

IIM SKILLS vs Data Trained Data Analytics Course: Course Syllabus

While discussing a thorough comparative analysis between IIM SKILLS & Data Trained data analytics course, let us now explore the most important aspect: the course syllabus of both data analytics courses which is required to study by every interested individual before deciding which platform or online institute they want to take admission and start studying. Let us now study or analyze the important topic of comprehensive course syllabus structure.

Curriculum Structure: Data Analytics Master Course, IIM SKILLS

The curriculum structure or course syllabus of the data analytics master course offered by IIM SKILLS is divided into nine different types of modules which are discussed below,  

Module 1: Data Analytics Leveraging Advance Excel ( 9 hours)

  • Introduction to Data Handling
  • Understanding Data Visualization in Excel
  • Concept of Data Manipulation
  • Introduction to Data Analysis & Reporting
  • Dashboards Overview
  • Creating Dashboards in Excel

Module 2: Data Analytics Using VBA ( 15 hours)

  • Introduction to Visual Basic Analysis
  • Understanding the Components of Programing Language
  • Working on Visual Basic Analysis
  • Programming Construction in VBA
  • Understanding Functions & Procedures in Visual Basic Analysis
  • Concept of Object & Memory Management

Module 3: Data Analytics Leveraging SQL ( 39 hours )

  • Introduction to Structured Query Language (SQL)
  • Concept of Relation Database Management System (RDBMS)
  • Understanding Data-Based Objects Creation
  • Introduction to Data Manipulation in SQL
  • SQL Server Reporting Services
  • SQL Server Integration Services

Module 4: Data Analytics with Power BI ( 24 hours )

  • Introduction to Power BI
  • Power BI & Functions
  • Concept of Data Preparation
  • Understanding Data Modeling
  • Learning Adding & Removing Columns or Rows
  • Introduction to Data Analysis Expression
  • Understanding the Development of Reports through Power BI

Module 5: Data Analytics with Python-1 ( 10 hours )

  • Introduction to Statistics
  • Introduction to Mathematical Foundations
  • Understanding Analytics & Data Science
  • Introduction to Python Essentials
  • Concept of Numerical Python
  • Understanding Pandas
  • Learning Cleansing Data with Python

Module 6: Data Analytics with Python-2 ( 10 hours )

  • Introduction to Data Analysis Using Python
  • Understanding Basic Visualisation Tools
  • Data Visualization With Python
  • Introduction to Advanced Visualisation Tools
  • Concept of Statistical Methods
  • Learning Hypothesis Testing

Module 7: Data Analytics Using Tableau ( 15 hours )

  • Introduction to Tableau
  • Understanding Data Handling
  • Building Advanced Report
  • Concept of Table Calculations

Module 8: R for Data Science ( 20 hours )

  • Introduction to Data Importing & Exporting
  • Understanding Data Analysis
  • Concept of Data Visualization with R
  • Data Manipulation with R
  • Understanding Regression Models
  • Testing of Statistical Methods

Module 9: Data Analytics Using Alteryx ( 18 hours )

  • Introduction to Alteryx
  • Fundamental of Alteryx
  • Understanding Alteryx Settings
  • Concept of Alteryx Designer Interface

Professional Courses from IIM SKILLS

Curriculum Structure: PG Program in Data Analytics, Data Trained

The syllabus structure or comprehensive curriculum of the Data Trained PG Program in Data Analytics is categorized into four extensively designed course modules. Each module is curated according to the current trends in data analytics requirements. Let’s see and study the syllabus in detail.

Module 1: The Foundations

This module holds two major foundational level courses which are essentially required to study and understand deeply by course participants before exploring other course modules.

  • Introduction to Python 
  • Use of Python in Artificial Intelligence (AI) & Machine Learning (ML)
  • Discovering, Understanding & Learning Python Functions
  • Learning how to use NumPy, Pandas and Visualization Tools
  • Concept of Data Structure
  • Introduction to Applied Statistics
  • Study of Descriptive Statistics
  • Understanding Inferential Statistics
  • Concept of Probability
  • Understanding Conditional Probability
  • Using Python for Hypothesis Testing 

Module 2: Machine Learning 

This module covers the study of significant as well as important parts of machine learning.

  • Introduction to Machine Learning (ML)
  • Fundamentals of Machine Learning 
  • Understanding Machine Learning Algorithms
  • Introduction to Classification of Regression
  • Concept of Linear & Logistic Regression
  • Understanding Simple & Multiple Regression
  • Introduction to K-NN Classification Machine Learning Algorithm
  • Machine Learning Techniques – Support Vector Machine
  • Concept of Decision Trees
  • Understanding Hierarchical & K-means Clustering
  • Introduction to Principal Component Analysis

Module 3: Advanced Excel

This module helps course participants learn or understand comprehensive knowledge including theoretical & practical of advanced Excel. Here are listed some of the major topics that will be covered in this module.  

  • Introduction to Excel
  • Learning How to Use Excel in Data Analytics
  • Understanding Basic Formulas
  • Introduction to Excel Functions
  • Learning How to Use Various Types of Excel Functions
  • Concept of the LOOKUP function
  • Understanding Date & Financial Functions
  • Learning Concept of Pivot Tables
  • Introduction to Sparkline
  • Concept of Macro Functions + Codings
  • Understanding Custom Formatting & Filters
  • Introduction to Macro_PPT & Macro_Basic

Module 4: Tableau

This module covers the thorough study of data analytics tools called Tableau.

  • Introduction to Tableau
  • Understanding Various Types of Data
  • Concept of Data Handling
  • Learning How to Build Advanced Reports & Maps
  • Understanding Table Calculation & Modification
  • Introduction to Data Blending
  • Learning How to Build Interactive Dashboards

IIM SKILLS vs Data Trained Data Analytics Course: Course Highlights

Today candidates are not only interested in any course-providing institute or online platform that provides traditional methods of teaching which are usually based on theoretical learning. Individuals search for those types of institutes which offer multiple types of course highlights and major perks alongside teaching. These highlights or perks are of many types that can differ from institute to institute and are provided to every course participant. In this section of the article, we are going to explore various types of highlights offered by IIM SKILLS & Data Trained with their comprehensively designed top-ranked data analytics course. I recommend to all individuals or future course participants to perform a comparative analysis on the perks and benefits of both data analytic courses and decide which suits you favourably. 

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IIM SKILLS Data Analytics Master Course Highlights

  • Participants are taught by faculty of industry expert professionals
  • Participants are able to lifetime access various types of resources, recordings and lectures on their learning portal 
  • The program is totally organised and delivered on data-driven tools
  • Participants have to work on 7+ live projects/ 10+ case studies 
  • Practical training is offered in the form of a 2-month non-paid internship which helps in obtaining industry exposure 
  • 24*7 support available to course participants
  • IIM SKILLS also offer an interview guarantee and job assistance support  
  • 100% if not satisfied

Data Trained PG Program in Data Analytics Course Highlights

  • Course participants taught and learned under the guidance of industry-experienced trainers 
  • Participants can get one-on-one with expert industry mentors
  • 100+ live sessions offered to course participants 
  • Instant solutions to course-related doubts are provided
  • Interactive learning program with 350+ hours of hd video lectures
  • Participants are able to track their performance with practical tests
  • Participants have the opportunity to receive training in 15+ types of tools & software
  • Data Trained provides support in resume feedback and interview preparation
  • 100% placement guarantee after completion of the course
  • Participants also get faculty built-in apps
  • Resume building & interview preparation
  • IIMjobs pro membership
  • LinkedIn profile optimization

IIM SKILLS vs Data Trained Data Analytics Course: Course Duration / Mode of Study

Let us now find out the duration and study mode of both IIM SKILLS & Data Trained data analytics courses separately. The below-mentioned table holds as well as carries all of the important information regarding the duration of both data analytics courses along with their mode of study. 

IIM SKILLSData Trained
Name of the course: Data Analytics Master CourseName of the course: PG Program in Data Analytics 
Course Duration: The course is designed for the 6-month program with 160+ hours of lectures and 100+ hours of assignments.Course Duration: The course is designed for the 8-month program (20-22 hours a week) with 360+ hours of learning and 100+ hours of live sessions.
Time of Class: 10:00 A.M. to 1:00 P.M. every Saturday and Sunday.Time of Class: Decided by the institute according to the registered batch and participants will know class timing after admission.
Mode of Study/Class: Live OnlineMode of Study/Class: Live Online

IIM SKILLS vs Data Trained Data Analytics Course: Course Certification

The certificate after successful completion of the course holds a significant value which enunciates that a specific individual has successfully completed this & that course from a specific institute. Obtaining certification helps participants in entering or starting into their desired industry as confident experts. In this section of the article, we are going to discover what types of certificates are rewarded by IIM SKILLS & Data Trained to every course participant after completing their data analytics course.     

Certification: Data Analytics Master Course, IIM SKILLS

IIM SKILLS offered industry recognized as well as government of India authorised under MSME certificates to every course participant after successfully completing the data analytics master course within the course duration. Their certificate holds immense value on a global level.

Certification: PG Program in Data Analytics, Data Trained 

Participants after successfully and efficiently completing the Data Trained: PG program in the data analytics course are eligible to get rewarded with two globally recognized world-class certificates which help them in portraying their skills in the industry.

  • Course Completion Certificate by Data Trained Education 
  • Project Completion Certificate by Data Trained Education

IIM SKILLS vs Data Trained Data Analytics Course: Admission Process & Course Fees

The admission process along with the fee structure are considered significant criteria that individuals must understand before. This section of the article will help and guide you to comprehensively understand the admission process and fee structure of both IIM SKILLS & Data Trained data analytics course. 

Admission Process of Data Analytics Master Course by IIM SKILLS

To taking admission to the IIM SKILLS data analytics master course, candidates are advised to fulfil above stated eligibility requirement and visit the IIM SKILLS website for online registration or contact them by phone number and email at +91 9580740740, [email protected]

 IIM SKILLS – Data Analytics Master Course Fee Structure: INR 49,900 + Taxes

Admission Process of PG Program in Data Analytics Course by Data Trained

The admission process in PG Program in data analytics at data-trained education is categorised into several steps which are mentioned below.

Step-1: Candidates will have to fill quest form on their website which is analysed by counsellors who will contact them accordingly.

Step-2: The admission committee will review every candidate’s profile and if any candidate gets shortlisted then they will receive a confirmation call or email which confirms their admission in the course.

Step-3: Shortlisted candidates are advised to block their seat with INR 10,000 & start their course journey.

Data Trained – PG Program in Data Analytics Course Fee Structure: INR 70,000+ GST & No Cost EMI options are also available. 

Conclusion

Data analytics is a high-monetary rewarding as well a successful career-building field which is emerging gradually by inviting many interested individuals to start their career in the analytics industry. Today many individuals including fresher graduates and working professionals are desiring to start their careers in the field of data analytics. This article herby presents a thorough comparative analysis between IIM SKILLS vs Data Trained data analytic course to guide every individual who is searching and looking for an authentic learning platform or institute in order to pursue an industry-based data analytics course for starting a career as a data analyst or related professional.  

Frequently Asked Questions

Q. What is Data Analytics?

Data Analytics is a comprehensive process in which large amounts of data volumes are collected from a variety of different sources and channels in order to extract meaningful insights from it to help business organisations, companies, industries and corporations in discovering data-driven trends or patterns in the market. In simple terms, data analytics is a technological advancement tool which is leveraged for data cleaning, data analysis, data management, data visualisation and data reporting to support concerning parties in streamlining their business operations along with developing business strategies and establishing informed data-driven decisions to achieve organisational as well as objectives.

Q. Is building a career in data analytics a high-paying career option?

Yes, building a career in the field of data analytics is considered a high-paying or rewarding career option available. Because of digitalisation business organisations and companies are collecting uncountable data volumes which directly increases the demand for skilled or expert data analytics professionals in the industry. An enter-level data analyst or related professional start their earring from INR 3,00,000 to INR 7,00,000 per annum which totally depends upon their level of knowledge and skills. Individuals who have work experience in data-related domains and after pursuing a data analytics course they can able to secure an annual salary package of around INR 10,00,00 or above.    

Q. How many types of jobs i can secure after completing a data analytics course?

Individuals after successfully completing an authentic data analytics course from a recognised institute or online learning platform are eligible to secure multiple types of jobs as well as career professionals in the industry of data analytics across various sectors including finance, healthcare, hospitality, technology and more. These individuals are eligible to secure profiles like data analyst, data scientist, research associate, equity research analyst, business analyst and various job positions according to their level of qualification and desire.