Join India's #1 Analytics Program

PG Program - Business Analytics & Business Intelligence (PGP-BABI)Online | Bangalore | Chennai | Delhi | Pune | Mumbai | Kolkata

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Why PGP - Business Analytics and Business Intelligence


Learn while you earn with our weekend classes. We accommodate transfer cases and sabbaticals and provide the option to catch up even when you have missed classes.


To analytics in 6 months of program completion with an average salary hike of 48% in 200+ companies, that share job opportunities with us.

Business Focus

Industry-led modules on Analytics in Finance & Risk, Supply Chain & Logistics, Marketing & Retail, Web and Social Media, etc.

Learn in Classroom or Online

Choose between Weekend classroom sessions or Online live mentorship sessions.

A Unique Learning Experience Awaits You.

PGP-BABI is delivered in multiple formats that include Classroom teaching and online mentorship sessions, along with self-learning through videos and reading materials, team-based problem solving, and sessions with industry experts. Candidates can access the course content through a Learning Management System even after they have graduated.

Innovative Pedagogy

Our program offers a blended learning environment or an Online learning environment that causes minimal disruptions to work schedule. Sessions are assisted by online webinars, discussions and assignments for continuous and cumulative learning.

Corporate Collaboration

Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Capstone Project

The Capstone project allows you to apply your learning to real industry projects and add it to your portfolio for potential employers to see as a tangible body of work.

Talent Pool in PGP-BABI

Interaction in the course is not just with peers but active employees from different industries who bring their unique experiences to the fore.

Certificate and ePortfolio



Showcase your learning and projects in a snapshot, share the link on social media channels to establish your credibility in Business Analytics


Program Structure

The program is carried out in 2 formats – Classroom mode and Online mode, delivered by Great Lakes faculty and industry professionals from the field of analytics. This ensures a remarkable learning experience for the candidates combining academically-elegant and industry-relevant coursework.


  • Syntax
  • Basic functions in R
  • R Packages
  • Getting help
  • Initial data exploration
  • Data frames
  • Sub setting data
  • Basic statistical analysis
  • Introduction to ggplot2
  • Data collection, presentation and visuals
  • Measures of central tendency and dispersion
  • Five number summary, Box Plots
  • Correlation
  • Probability basics
    • Types of Probability
    • Mutually Exclusive events, Independent Events
    • Marginal Probability
  • Conditional probability
  • Bayes theorem
    • Applications of Bayes theorem in real life scenario
  • Continuous distributions
  • Normal Distributions and its applications
  • Central Limit Theorem
  • Case Study: Hands on using R
  • Discrete distributions
  • Poisson’s distribution and its applications
  • Binomial Distribution and its applications
  • Case Study: Hands on using R
  • Basics of Hypothesis Testing
  • Null and Alternate Hypothesis
  • Test of Proportions
  • Test of Means
  • T- testing : one sample, two samples, paired
  • Case Study: Hands on using R
  • Type 1 and Type 2 errors
  • Applications of Hypothesis testing
  • Goodness of Fit
  • Chi Square test of independence
  • Finance as a function
  • Financial Management Decisions
  • Financial Accounting & Balance Sheet
  • Financial Statement Analysis using Financial Ratios
  • Hands on: Interpreting the financial statements of companies
  • Understanding the concepts of working capital
  • Operating and Cash Operating Cycle of a firm
  • Investment and financing of working capital
  • Introduction to Valuation
  • Discounted Cash Flow
  • Time Value of Money
  • Net Present Value
  • Making Capital Investment Decision
  • Determinants of Cost of Capital & Raising Capital
  • Financial Leverage and Capital Structure Policy
  • Marketing Process
  • Marketing Myopia
  • Marketing as a Strategy
  • Segmentation, Targeting & Positioning
  • Marketing Mix
  • Customer Relationship Management Framework
  • Consumer Behavior
  • Recency, Frequency & Monetary Analysis
  • Computation of CLTV

Analytics Techniques

  • Basics of ANOVA
  • One Way ANOVA
  • Applications of ANOVA
  • ANOVA with interaction effects
    • Two Way ANOVA
  • Case Study: Hands on using R
  • Simple linear Regression
  • Ordinary Least Sum of Squares
  • Simple linear Regression: Assumptions & Evaluation
  • Multiple linear Regression
    • Assumptions & Evaluation
  • Multi-collinearity
  • Case Study: Hands on using R
  • Requirement for Dimension reduction
  • Principal Component Analysis
  • Factor analysis
  • Case Study: Hands on using R
  • Formulating a Clustering problem
  • Hierarchical Clustering
  • Building & Profiling Hierarchical Clusters: Hands - on using R
  • K-Means Clustering
  • K-Means Clustering: Model building using R
  • Decision Trees
  • Classification and Regression Tree
  • Hands on using R
  • Model Performance Evaluation
    • Rank Ordering computation
    • Concordance computation
    • Gini coefficient
    • Classification Error & Confusion Matrix
  • Ensemble Modeling
  • Random forest algorithm
  • Building a Random Forest Model- Hands on Using R
  • Measuring Random Forest Model Performance using R
  • Neural Networks & its Application
  • Building a Simple Neural network Model: hands on Using R
  • Single & Multi- Layer Neural network
  • Back-propagation & Gradient Descent
  • Model performance Evaluation: Regularization
  • Problems and Resolutions
  • Step-wise Regression
  • Dummy Regression
  • Case study: Hands on Using R
  • Why Logistic Regression
  • Odds and Probabilities
  • Log Likelihood ratio test
  • Pseudo R square
  • ROC Plot
  • Classification table
  • Case study: Hands on using R
  • Discriminant Function
  • Linear Discriminant Analysis
  • Confusion Matrix
  • Case Study: Hands on using R
  • Examples
  • Time series objects in R
  • Trends and seasonality variation
  • Decomposition of time series
  • Autocorrelation
  • Partial Autocorrelation
  • Interpretation of ACF and PACF
  • Exponential Smoothing
  • Holt Winters Method
  • Stationarity
  • Regression Methods
  • Moving Average Models
  • Autoregressive Moving Average(ARMA) models
  • Autoregressive Integrated Moving Average(ARIMA) models
  • Case Studies
    • Forecasting case studies in different domains
  • Image data
  • Text data
  • Naïve Bayes
  • KNN
  • Lasso vs Ridge Regression
  • Problem formulation
  • Applications
  • Case study
  • Problem formulation
  • Applications
  • Problem formulation
  • Applications
  • Problem formulation
  • Applications

Domain Exposure

  • Customer Segmentation : RFM analysis
  • Customer Segmentation : K Means Clustering
  • Customer Segmentation: Consumer Lifecycle segmentation
  • Hands on session using R
  • Customer Life Time Value computation
  • Introduction to KNIME
  • Hands on session: Case Study
  • Customer Attrition models
  • Hands on session using KNIME
  • Market Mix Modeling
  • Market Basket Analysis
  • Hands on session using R
  • Social Media Analytics
  • Frequency Analysis & Finding Associations
  • Topic Modelling
  • Hands on session using R
  • Sentiment Analysis
  • Hands on session using R
  • Logistic model
  • Random Forest
  • Trees
  • Bull-whip effect
  • Reorder Point
  • Safety Stock

Visualization and Insights

Tools and more

  • R
  • SAS (Online module)

Capstone - The Cornerstone

The Capstone Project is an application-oriented industry project where candidates are mentored and evaluated by Great Lakes faculty and Industry Experts. It allows them to apply their learning to real life projects and add it to their portfolio as a tangible 'body of work' for potential employers to see. It is a growth enabler that instills both confidence and conviction in our candidates.

Market Basket Analysis for Consumer Durables

Domain: Retail
Techniques Used: Market Basket Analysis, Brand Loyalty Analysis

Developing best prediction model of credit default for a retail bank

Domain: Banking
Techniques Used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART

Tapping Social Media Exchanges on Twitter- A Case Study of the 2015 Chennai floods

Domain: Web & Social Media
Techniques Used: Topic Modeling using Latent Dirichlet Allocation. K-Means & Hierarchical Clustering

Developing a demand forecasting model for optimizing Supply Chain

Domain: Supply Chain
Techniques Used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

Vendor Invoicing Grief Project

Domain: Finance & Accounts
Techniques Used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

Personal Insurance Digital Assistant

Domain: Insurance
Techniques Used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis

Prediction of user’s mood using smartphone data

Domain: Healthcare
Techniques Used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM

Customer Engagement and Brand Perception of Indian Ecommerce - A Social Media Approach

Domain: E-commerce/ Internet Business
Techniques Used: Word Cloud & Correlation, Topic modelling using LDA with Gibbs Sampling and using Hierarchical Agglomerative Cluster Dendogram, Sentiment Analysis, & Clustering

Start-Up Insights through Data Analysis

Domain: Entrepreneurship/ Start Ups
Techniques Used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest

Actionable Insights for improving sales of a consumer durables retailer using POS Data Analytics

Domain: Retail
Techniques Used: Market Basket Analysis, RFM (Recency-Frequency- Monetary) analysis, Time Series Forecasting

Hands-On Learning from Analytics Practitioners

Get invaluable input from the who's who of the industry:

Gunjan Gupta

Senior Vice President & Head - Analytics at Bajaj Allianz Life Insurance Co. Ltd.

Muthu Ramanujam

Head, Retail Bank Finance Analytics

Sundar Varadarajan

Senior Vice President & Practice Head, BI & Analytics Hexaware Technologies

Manu Chandra

Co-Founder & Director FN Mathlogic Consulting Services Pvt Ltd

Suresh Krishnaswamy

Director, Cognizant Business Consulting, Analytics

Sanjoy Roy Choudhury

Vice President, Evalueserve

Titir Pal

Director, Absolutdata Research & Analytics

Satish Raghavendran

Vice President - Deloitte

Abhinav Kumar

AVP - Decision Analytics At EXL

Rajarajan TR

Principal Data Scientist At Accenture

Manish Gupta

Senior Applied Scientist At Microsoft

Eron Kar

Director & Head-Analytics COE

V Shekhar Avasthy

Chief Data Scientist & Principal Consultant At Facts N Data, New Delhi

Vinay M R

Practice Lead Data Scientist

Anshuman Gupta, PhD

Director - Data Science

Jayatu Sen Chaudhury

Vice President, American Express

Lakshmi Narayanan

Chief Executive Officer Cognizant Technology Solutions Pvt. Ltd.


Delivery Formats


12-month Classroom Mode

Learn in real classrooms with 30 classroom sessions taking place one weekend a month, get access to an online learning management system for online content

11-month Online only mode

Learn through 30 online mentorship sessions along with recorded content available on our Learning Management System


Career Support



Career Transitions within 6 months of completing the program


Avg Salary hike Post doing our program


Companies share job opportunities with us


Personal Career Coach

We will be providing you a career coach in the program, where in the candidate will get access to career mentoring depending upon his experience and industry. These coaches are either working in analytics for long or have made a successful transition to analytics role in the recent past and so the candidate will benefit immensely from his/her guidance on how to build a career in analytics in his/her industry.

e-Portfolio Creation

We organize all your mini projects and capstone project into your e-Portfolio, a highly shareable and succinct summary of your body of work.

Resume Building Sessions

Resume building sessions ensure that your resume reflects the attributes that most recruiters and hiring managers look for when hiring for analytical job roles. They help you highlight aspects of your professional experience that are most important for analytics roles.

Interview Preparation Workshops

During the interview preparation workshops, we discuss commonly asked questions that help you make the most of the interview opportunities you will encounter. During the interview skills development workshop, you will learn how to use your e-portfolio in the most impactful manner to describe your skills set and employability.

Great Lakes Job Board

Get access to Great Lakes Job Board during and after you have graduated from the program. Around 30-40 students of ours transition to analytics each month. A dedicated career support team works along with 200+ organizations that are looking to build their analytical capabilities and all this information is timely posted on the job board for our learners and alumni to act upon.


Success Stories of our Alumni

Our alumni empower us to move ahead with our mission of driving career success in a data-driven world. Here is how:

"The diversity in my batch helped me a lot in peer learning and networking."

Vaibhav Kukreja
Associate Consultant, KPMG
Read story >

"With Great Lakes, I felt like I was back to college with a well-structured plan and dedicated timelines to follow."

Manaspreet Kaur
Business Data Specialist, Gartner
Read story >

"It has helped me immensely to study with a group of people from different industries with 10-15 years of experience."

Mandvi Tyagi
Business Analyst, RBS
Read story >

"Most of us were new to Analytics, so the professors really set the tone for us by taking the session to a different level altogether."

Edwin Inbaraj
Data Scientist, Verizon
Read story >

Meet the future industry leaders

This is how the class of PGP-BABI 2017 looks like.

The PGP-BABI class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles and industries. Designed for working professionals, the PGP-BABI program has received wonderful response from candidates. The batch has a collective experience of over 500 man-years with an average experience of over 9.5 years per candidate.

Industry Diversity

Industry Diversity

Work Experience Distribution

Work Experience Distribution

Education Background Diversity

Education Background Diversity

The PGP-BABI class comes from some of the leading organizations. Some of their current employers include:


A visual insight into the world of Business Analytics

Here are a few class videos from the recent sessions.

Understanding the Basics of Cluster Analysis
Analytics Problem solving
Learn 5 of the Hottest Analytics Techniques in Just 12 Minutes
Rise of Datafication and Its Impact

Admission Details for the PG Program - Business Analytics


Bachelor's degree with a minimum of 50% aggregate marks or equivalent.

Atleast 2 years of full-time post qualification work experience (this is relaxed for the online mode)


Interested candidates need to apply by filling up an Online Application Form.

The faculty panel will review all the applications and shortlist candidates based on their profiles

The shortlisted candidates will then be going through a telephonic interview round which will then be reviewed by a faculty panel.

The admissions will be conducted on a rolling basis and the admission process shall be closed once the requisite number of candidates have taken admission into the program.


Admission Details for the PG Program - Business Analytics

Following are the payment details for the program:

FEES for Classroom mode

3,95,000 + GST


Tuition Fee

Learning Material

Lab Access



Particular Amount (Exclusive of GST)
Admission Fee 50,000
First Installment 115,000
Second Installment 115,000
Third Installment 115,000
Total 395,000

FEES for Online only mode

1,70,000 + GST


Tuition Fee

Learning Material

Lab Access


Particular Amount (Exclusive of GST)
Admission Fee 25,000
First Installment 48,400
Second Installment 48,300
Third Installment 48,300
Total 170,000


Candidates can pay the program fee through Cheque, DD, Net banking, Credit Cards or Debit Cards.*


We have partnered with the HDFC Credilla and Avance Education, in case our students want to finance the course by education loan. With the help of our corporate partnership, students can avail a loan at a substantially lower rate of interest than the market.


Mark the Dates

 Here are the Application Deadlines for the program

Upcoming Application Deadline: 15th November 2018

Batch commencement dates


December 2018


December 2018


December 2018


December 2018


November 2018


December 2018


24 November 2018


Frequently Asked Questions

Here's a list of the commonly asked questions about the program.

What is the eligibility criteria for this Program?

The Post Graduate Program in Business Analytics (PGP-BABI) is an Analytics focused management Program designed and delivered by Great Lakes Institute of Management. Since this is an executive Program that prepares professionals for managerial careers in Analytics, a prior work experience of at least two years is required. However, there is no upper limit on the amount of prior work experience.

What is the Program architecture for PGP-BABI?

The total course comprises about 440 hours of learning comprising 240 hours of classroom learning and 200 hours of online/off classroom. Classes happen on one weekend every month.

What is the Program calendar for PGP-BABI?

The program follows classroom sessions on one weekend a month. Check the Batch Commencement Details (under Deadlines above) for details. 

What is unique about the curriculum in PGP-BABI?

PGP-BABI is unique in curriculum design on the following fronts:

  1. The curriculum covers general management subjects and provides a detailed study in analytics
  2. The courses are taught by eminent faculty from Great Lakes and senior executives from the analytics industry
  3. The Program provides the candidates with hands-on exposure to tools such as R, Tableau, and SAS.
  4. The blended delivery model (classroom and online) of the Program makes it convenient for working professionals to attend classroom sessions without having to quit their jobs and also, pace their learning through online sessions.
How will PGP-BABI help me progress in my career?

The Post Graduate Program in Business Analytics (PGP-BABI) equips you with the relevant knowledge and skills to pursue managerial careers with best of analytics companies or move the analytics roles within your existing organization.

Is PGP-BABI a completely online Program?

PGP-BABI follows a blended learning model wherein classes are conducted at Great Lakes campuses/Centers (in Gurgaon, Chandigarh, Chennai, Bangalore, Hyderabad, Mumbai & Pune) and also through an online learning management system.

Will the Program certificates be awarded by Great Lakes?

The program is internationally recognized. The certificate for the Post Graduate Program in Business Analytics will be awarded by Great Lakes Institute of Management.

Would Great Lakes faculty be teaching in this course?
The academic modules would be taught by senior faculty from Great Lakes. In addition to to Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.
Where will the classes be held?

The classes for Gurgaon, Chandigarh, Chennai, Bangalore, Hyderabad, Mumbai & Pune will be held at their respective Campuses/Centers in the city.

Is PGP-BABI accredited by UGC or AICTE?

The format of the Program does not lend itself to accreditation from AICTE/UGC. However, Great Lakes is an AICTE accredited institution and is one of the few colleges in India to receive accreditation from AMBA (Association of MBAs, UK).

What is the fee payment schedule for the Program?

Chennai/ Gurgaon/ Bangalore/ Hyderabad/ Mumbai/ Pune Program Fee

The total Program fee of Rs.3.95 lacs plus GST and can be paid at one go or according to the following payment schedule:

  1. Payment of Rs.50,000 at the time of acceptance of admission
  2. Payment of the remaining amount in 3 equal installments
Is accommodation also provided?

No accommodation is provided at our learning centers. Outstation candidates are requested to arrange accommodation themselves.

What is the refund policy for the program?

We advise all candidates to have complete information before enrolling in the program. No refund requests will be accepted once the fee has been paid. However, there is a deferment policy where a candidate can choose to defer his enrollment to a future batch.

Would I have to spend extra on books, online learning material or license fee?
All the requisite learning material is provided online to candidates through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
Would the content be available to me after completion of the course?
We believe that learning should continue and hence, all the learning material in terms of lectures and reading content would be available to the candidates upto one year post completion of Program.
How will I be evaluated during the Program?

PGP-BABI is a holistic and rigorous Program and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.

Can my company sponsor me?

We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at

Will there be placements at the completion of the Program?
The career support activities at Great Lakes PGP-BABI begin with helping candidates prepare for analytics careers through sessions conducted by industry experts on careers in analytics and resume building. We also provide our candidates and alumni with access to any opportunities that analytics companies share with us. There are several examples of PGP-BABI candidates and alumni who have capitalized these opportunities to move to new roles or companies in analytics. Please be informed that Great Lakes PGP-BABI does not offer any placement process as a part of the program.
What is the admission process?

All interested candidates are required to apply to the Program through the online application form. A panel of Great Lakes faculty evaluates all applications and therein, the shortlisted candidates are contacted for interviews. The interviews may be conducted in person or through telephonic or video conferencing.

How can I apply for the Program?

If you are interested in the Program, you can apply through the online application form. If you need assistance from our team, write to us at or call us at 87506-48238 and we shall guide you through the process.

Is there any financial aid provided?
Great Lakes PGP-BABI Program has tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.
How many batches have been launched till date?

Till date, we have launched 40 batches across the centers.

Do candidate need to bring their own laptop?
The candidates need to bring their own laptops, the technology requirement shall be shared at the time of enrollment.