Join the World’s Most Respected

Data Analytics Master Course by IIM SKILLS

Table of Contents

IIM SKILLS vs. KPMG Data Analytics Course – A Comprehensive Review

As business data collecting expands and becomes more sophisticated, it is obvious that they want to use that data, and data analysts are at the forefront of this trend. Numerous reputable colleges and institutions across the globe provide certificate or degree programs in data analytics. By enrolling in courses on the topics, you may quickly lay your foundation to get started in this field. 

IIM SKILLS vs. KPMG Data Analytics Course

We have chosen the best reputable data analytics courses from IIM SKILLS and KPMG. Both of the institutions have their own way of providing their education in this field. Here, in this article, we will see the comparison of IIM SKILLS vs. KPMG data analytics course review. You may choose based on your preferences or budget.

What is Data Analytics?

Many individuals are unfamiliar with the term “Data Analytics”. It simply refers to all the procedures and tools needed to analyze a collection of data and draw significant conclusions from it.

The word analytics covers a wide range of techniques and methods for data analysis. To advance your career as a data analyst, the whole course in data analytics will provide in-depth information in this field.

Analytics business tools can be quantitative, like statistical tools or software, or qualitative of life surveys in the medical area. They separate valuable data from irrelevant data, extract useful data, and then divide and analyze data to identify patterns and numerical statistics that might support a lucrative change.

In all big organizations, data analytics is a crucial part of developing strategies since it helps in forecasting consumer trends and behavior, boosting corporate efficiency, and making choices that are supported by facts.

Recommend Read,

What Does a Data Analyst do?

  • The main responsibility of data analysts is to gather and analyse data, spot trends, and patterns, and offer insightful recommendations based on the findings.
  • Another key responsibility for those who operate in a commercial environment is to inform stakeholders of the results and facilitate data-driven decision-making.
  • Any position as a data analyst requires the use of statistical techniques and tools for data visualization. 
  • The aims, sector, and major function of the organization all affect the job requirements for the data analyst.

Skills Required Being a Data Analyst

A data analyst’s skillset should be diverse, spanning from creative thinking and attention to detail to good communication, as data analysis is ultimately about extracting and expressing the knowledge contained in data. Some of the necessary soft skills are listed below:

  • Good Attention to Detail
  • Creative and Analytical Skills
  • Problem-Solving
  • Communication Skills
  • Team Work
  • Ethical Judgement
  • A Mind for Math and Numbers

However, the technical skills necessary to become a data analyst, which starts with a firm grasp of a few essential programming languages, are the basis of all the data analysis skills you need. Such as,

  • Excel
  • SQL
  • Statistical Analysis
  • Programming
  • Machine Learning
  • Data Visualization

Why You Should Choose Data Analytics as a Profession? 

The advantages of pursuing a career in the area of data analytics are listed below:

The Skills Needed for the Position Are Simple to Acquire:

Regardless of your current occupation, having a natural willingness to solve problems will make it simpler and more exciting for you to learn how to apply analytics techniques that are in demand and to specialize over time.

Demand for the Profession is High:

75% of Internet of Things providers believe that data analytics is the most in-demand profession, and more than 68% of them are having trouble hiring people with the necessary skills. The variety of professional possibilities is expected to increase in the future years.

Many Different Fields Provide Various Opportunities:

In a variety of development fields, such as healthcare, manufacturing education, media, retail, and even real estate, big data analytics help find affordable solutions and strengthen the capacity of decision-making

Depending on your skill sets and interests, you will have the chance to choose from many industries.

Well-Paid Profession:

When compared to other IT workers, the financial rewards of switching to a job in data analytics may be superior. Students and young adults who have a strong sense of logic, are computer literate and are outstanding communicators might choose a job in big data analytics if they want to earn more than the average salary and work set hours.

If Mathematics is Your Strong Suit, This is a Field Where You Can Succeed:

If you enjoy math and statistics, a job in big data analytics will let you develop your applied statistics, linear algebra, real analysis, numerical analysis, and graph theory abilities.

You Can Take Advantage of Decision-making Authority:

Any business that uses data analytics will benefit since it gives you the ability to make better decisions and a competitive advantage.

As more businesses rely on data professionals, you will collaborate with the organization’s key person to simplify decision-making layers from top to bottom and engage with local levels to put insights into action. 

You are not limited to a certain field if you pursue a career in data analytics. You may quickly change career and advance in the areas that most closely match your interest if you have the necessary skillsets. 

How Do I Become a Data Analyst?

The first step in learning how to become a data analyst is to pick up the necessary data skills. While some of these skills are simpler to learn on your own, others are more difficult.

However, the data analytics industry as a whole is so vast and varied that it can be challenging to even know where to begin when wanting to study data analysis. The ideal way to get started in a profession is with an organized learning environment that methodically goes over all the fundamentals. This way you will know right away what you still need to study.

For example, potential data analysts searching for information on how to get started in data analytics frequently turn to data analytics courses and data analytics boot camps.  Technical training and practical experience are two things that a data analytics course should offer.

So let’s look into the data analytics course from IIM SKILLS and KPMG.


One of the top providers of online educational services in the World, IIM SKILLS has its headquarters in New Delhi, India. IIM SKILLS was established in 2015 and now they have a global presence in more than 35+ countries and more than 35,000+ trained that focus on high-quality professional courses and training at affordable prices.

To meet the upskilling and training needs of students and working professionals, IIM SKILLS provides a wide range of in-demand courses in writing, finance, and marketing.

Experts in the field and experienced instructors have built the course to fit the demands of the job market today. IIM SKILLS promises to provide students with hands-on, practical training that will provide them with the real-world skills they need to excel in their jobs or to launch their own businesses.

IIM SKILLS will help you in choosing your career path once you have successfully completed all of your courses through their placement assistance service. They provide guaranteed internships; help with resume and portfolio building, advice on careers, job recommendations, and assured interview calls.

Overview of Data Analytics Course

Data Analytics Course certification is a month-exclusive learning program. Anyone can start from the beginning to enter this cutting-edge sector if they are interested in data analytics.

By devoting 3-4 hours every week to instructor-led live online training by Industry experts that connect every topic from beginner to advanced level.

The curriculum of the course consists of 9 modules that cover every aspect of data analytics. The students can complete their course with 160 hours of lectures and 100+ hours of assignments.

Additionally, you will acquire 7+ live projects and, 10+ case studies in new-age technologies via 7+ tools that will help you get ready for the real-world industry.

For the learning materials, you will get lifetime access to their learning management system which consists, of pre-session recordings, recorded lectures, reading materials, and many more.

After successfully completing the course, you will get a certification and a two-month non-paid internship to put your studies into practice and prepare you for the workplace. After the training is over, the placement assistant team will give you a guarantee of the interview.

About KPMG Learning Academy

The reputable worldwide accounting firm KPMG (Klynveld Peat Marwick Goerdeler) is known as one of the world’s leaders in the professional services sector. KPMG is headquartered in the Netherlands and has branches across 145 different nations even in India. KPMG established a presence in the online learning market by providing a wide range of certification programs through KPMG Learning Academy. In India, KPMG provides courses that are specifically created for campuses and industry.

Students and professionals can improve in-demand skills by taking KPMG courses and KPMG certification courses in different topics such as financial accounting, human resource management, general management, data science, and many others.

The KPMG learning academy combines depth and breadth of subject matter expertise with its experience in learning design and technology. They provide a variety of pre-made digital, blended, and in-person courses using safe and user-friendly online learning platforms.

Overview of Business Analytics Training

KPMG in India provides working professionals and students with instructor-led and practical training in business analytics and machine learning. With the help of R, Tableau, and Advanced Excel, their course instructors can assist you in understanding the principles of business analytics, machine learning, and visualization.

The course covers a wide range of business analytics and machine learning topics in-depth, including practical modules, case studies, and the implementation of these ideas in real-world business situations. 

To ensure full exposure to analytical and statistical tools and methodologies, participants are given real industrial data.

Mode of Learning:

Live OnlineLive Online

Recommend Read,

IIM SKILLS vs. KPMG Data Analytics Course’s Aims and Objectives


  • To introduce learners to the fundamentals of data analysis, including its many forms, data mining, etc.
  • To enable students to do data-pulling, cleaning, manipulating, and analyzing business analytics tasks
  • To deepen your grasp of how to use Excel, Power BI, and Tableau as data analytics tools
  • Python can be used to manage datasets instead of spreadsheets
  • Have a thorough understanding of statistical Data Analysis, supports business decision-making


  • Focuses on the business challenge’s strategic components
  • With the goal of guiding both groups toward data analytics and designed with programmers and non-programmers in mind
  • Created and presented by a team of data specialists from KPMG in India
  • A strategy that has been thoughtfully designed to provide students a complete knowledge of business cases in an organizational context
  • Case studies cover every organizational function to give a full picture
  • An entirely practical approach   

Course Duration:

6 Months

Every Saturday-Sunday

10 AM to 1 PM

5 Weeks

Every Wednesday and Thursday – 

7 PM to 9:30 PM

Sunday – 6 PM to 9 PM


Course Fees:

The program fee is Rs.49, 900+ 18% GST which includes registration fees.  

You can opt for any single module for only Rs.19, 900+ Taxes.

The candidate can also avail group discount on more than 3 registrations.  They also provide a 100% money-back guarantee if you do not like their course after the first session.

Please, Contact the institution for fee structure.


IIM SKILLS vs. KPMG Data Analytics Course Curriculum:

IIM SKILLSCore ModulesTopics Covered
Module 1: Data Analytics Using Basics and Advanced ExcelIntroduction to Data Handling

Data Visualization in Excel

Data Analysis and Reporting

Data Manipulation Using Functions

Overview of Dashboards

Create Dashboards in Excel- Using Pivot Controls

Module 2:Data Analytics Using Visual Basic Application (VBA)Introducing VBA

How VBA Works With Excel

Key Components of Programming Language

Programming Constructs in VBA

Functions and Procedures in VBA – Modularizing Your Programs

Objects and Memory Management in VBA

Communicating with Your Users


Module 3: Data Analytics Using SQLBasics RMDMS Concepts

Utilizing the Object Explorer

Data Based Object Creation (DDL Commands)

Data Manipulation (DML Commands)

SQL Server Reporting Services


Module 4: Data Analytics Using Power BIIntroduction

Data Preparation and Modeling

Go to Columns and Add, Remove, and Keep Rows

Data Analysis Expressions (DAX)

Reports Development (Visuals in Power BI)

Module 5: Data Analytics Using Python-IIntroduction to Basic Statistics

Foundations of Mathematics: An Introduction 

Introduction to Data Science and Analytics

Python Essentials

Operations with NumPy (Numerical Python)

Overview of Pandas

Cleansing Data with Python

Module 6:Data Analytics Using Python-IIData Analysis Using Python

Basic Visualization Tools

Visualizing Geospatial Data

Data Visualization with Python

Advanced Visualization Tools

Statistical Methods and Hypothesis Testing

Module 7: Data Analytics Using TableauGetting Started

Data Handling and Summaries-I

Data Handling and Summaries-II

Building Advanced Reports/  Maps

Table Calculations

Calculated Fields

Module 8: R for Data ScienceData Importing and Exporting

Data Manipulation

Data Analysis

Data Visualization with R

Using R with Databases

Introduction to Statistics

Linear Regression: Solving Regression Problems


Module 9: AlteryxData Analytics Using Alteryx


KPMGTopics Covered
Module 1:Fundamentals of Business Analytics
Module 2:Spreadsheet Modeling Using Advanced Excel
Module 3:Data Analysis and Cleaning Using R
Module 4:Predictive Modeling Using R
Module 5:Art of Storytelling Using Visualization

Must Check,

IIM SKILLS vs. KPMG Data Analytics Course’s Tools Covered


Power BI










Learning Resource Access:

Lifetime90 days


IIM SKILLS vs. KPMG Data Analytics Course’s best for:

  • A Bachelor’s degree in any field
  • Basic knowledge of technology and computer
  • It can be advantageous to have prior experience in math and statistics, but it is not required
  • Engineering Graduates
  • Business Graduates
  • Professional wanting to launch a career in data science that has no more than five years of job experience.



After completing the course you will gain government-approved certification that is industry recognized.You will get a certificate from KPMG that will help you in improving your work prospect.


IIM SKILLS vs. KPMG Data Analytics Course’s Learning Outcomes:

After the completion of the data analytics master course certification syllabus, the candidate will be learning the following:


  • Recognize Excel and SQL concepts including command and query tools as well as statistical words like correlation, central tendency, dispersion, and regression
  • Gain knowledge of the deep aspects of Python including dictionaries, classes, sets, branches, objects, and dictionaries. and lists
  • Examine data analytics performance using Python libraries
  • Acquire the skills necessary to create Python programs that make use of variables, loops, conditions, and other programming elements
  • Learn how to read and write files in Python while becoming comfortable with loading and saving data using Pandas
  • By using NumPy’s multi-dimensional arrays, Panda’s data frame management, and Scikit Learn’s machine learning tool, you will obtain an in-depth understanding of data interpretation in Python
  • Knowledge of linear and non-linear regression models and classification algorithms for application in data analytics
  • Develop your Excel skills for business analytics
  • Acquire knowledge of clustering techniques such as hierarchical clustering, DBSCAN, and K means
  • Gain knowledge of visual analysis methods such as Pareto analysis, market-basket analysis, heat maps, and waterfall visualization 
  • Get to know about visualization tools such as Power BI and Microsoft analytics
  • Develop your skills to create interactive dashboards by learning more about Tableau’s model and statistics
Contact Information
Phone Number:+91 9580 740 740
Email ID:[email protected]



  • To clean and analyze data, using R
  • Use both descriptive and inferential statistics while making business decisions
  • Make stories and dashboards
  • Use the proper techniques to produce real-time prediction models
  • Adding live website data into Excel
  • Create multiple client segments based on behavior trends
Contact Information
Phone Number:+91 9447 494 118

+91 9003 381 790

Email ID:[email protected]


Jobs after Data Analytics Courses

The industry you work in influences the direction your career will go as a data analyst. With a bachelor’s degree in statistics, mathematics, or computer science, a person seeking to become a data analyst may often start the profession and be qualified for an entry-level data analyst job right away after completing a data analytics certification course. 

Some people change careers from a similar sector, such as business, economics, or even the social sciences to data analysis, generally by taking a data analytics course in the middle of their current job.

Data Analyst, Data Scientist, and Data Engineer are the three primary subfields of work in data analytics and while they are all different job titles in and of themselves, you may think of them as the three major categories in which the majority of data occupations belong. 

There are numerous combinations of these roles, the majority of which represents an advancement from one of these roles such as the transition from data engineer to data architect, or a specialization within them, frequently based on industry such as the transition from data analyst to business intelligence analyst.

Let’s take a deeper look at a few typical data roles along the professional path for data analyst:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Medical and Healthcare Analyst
  • Market Research Analyst
  • Operations Research Analyst
  • Intelligence Analyst


Q. What is the salary of a fresher data analyst in India?

In India, the starting salary for a data analyst is around 1.7 Lakh annually. The highest income a data analyst may receive is 11.3 lakhs per year.

Q. Is data analysis a stable job?

Some of the most desired specialists worldwide are skilled data analysts because data is everywhere and is expanding more and more as the demand for data analysts. Data analysts earn higher than average salary and benefits, especially at the entry-level, because demand is high and the pool of qualified candidates is small.

Q. Can a fresher become a data analyst through these courses?

Yes, definitely you can. Nowadays, employers look for people who have the necessary data skill set you can gain through completing data analytics courses. You can use a portfolio of your complete projects to apply for entry-level data analyst positions.


That’s it. We hope you get a clear understanding of data analytics and the courses from both IIM SKILLS and KPMG. Here, both of the courses will help you acquire the essential data skills and you will get practical experience in an advanced learning style with the knowledge. No matter, which course you will opt for, we are sure that your learning time is being put to use where it will be most helpful to you through both of these courses. Before enrolling and to know more information about the courses, we have provided the contact details of the institutions so that you can get your queries solved.

Join Free Data Analytics Demo Class with IIM SKILLS

This field is for validation purposes and should be left unchanged.