Mentor-Driven Personalized Learning

Business Analytics Certificate Program (BACP)

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Application Closes on - 25th January 2018

Why Business Analytics Certificate Program

India's First Mentor-Driven Online Program

Interactive sessions with program mentors in small cohorts.

Hands-On Exposure

Practical assignments, case studies, and instructor-led practice sessions on data sets.

Career Support

Access to Great Learning Analytics Job board and insights on resume building and cracking interviews.

Great lakes Certification

Certified by the Great Lakes Institute of Management.

6 Top Reasons to Join BACP

BACP is a one-of-its-kind innovative online program that provides a structured learning framework to students for effective learning and application of Business Analytics concepts.

Personalized Learning

You learn from industry experts not only through content but also through mentor-driven personalized learning sessions. We provide a structured learning framework to our candidates to ensure they learn along as the program progresses. Each module has recorded content that is followed by a session with an industry mentor who helps students master Business Analytics tools and techniques and clears any doubts in a small group of 5 participants.

Experiential Learning Projects

An experiential learning project at the end of every module helps candidates internalize their understanding of the content consumed. Our coursework and practical assignments are designed to enable candidates to apply what they have learned during self-study and industry sessions. Data sets are provided along with the course content so that participants can follow along with the instructor, get hands on practice and build their skills in Analytics tools.

Industry Exposure

Each week, participants get access to industry videos and webinars other than personalized learning sessions. Conducted by industry experts, these resources are business-relevant and crucial to your enhanced learning curve. Additionally, there are industry sessions in every module where an industry speaker delivers insights on current industry knowledge and solving real-life business problems.

Great Lakes Advantage

Great Lakes Analytics programs are ranked as the top Business Analytics Programs in the country by Analytics India magazine and Analytics Vidhya. We have successfully delivered about 1.5 million hours of learning to 5000+ learners with several success stories. World-class award-winning faculty from Great Lakes ensures that the candidates learn through an exhaustive curriculum with hands-on experience. All participants will be certified by Great Lakes.

Distinguished Mentors

Candidates learn from 100+ distinguished industry experts who mentor them throughout the course of the program. These industry experts are thought leaders in different domains with several years of industry experience that enables them to impart practical knowledge and industry insights in learning sessions.

Career Enhancement Sessions

The Program includes career development sessions which help you identify your strengths, a career path that suits you, and empower you to clear analytics interviews. Interacting with industry practitioners also helps gain exposure and experience in transitioning your careers to business analytics.

A Unique Learning Experience Awaits You.

The Business Analytics Certificate Program enables participants to gain an in-depth understanding of analytics techniques and tools through recorded faculty and industry videos, reading materials, webinars, and personalized learning sessions with industry mentors. It is an online program that takes a very practical approach to teaching analytics enabling participants to apply their learning immediately.

Learn by Doing

An experiential learning project at the end of every module helps candidates apply their understanding of the concepts they have learned. Practical assignments are designed to enable candidates to learn by application of concepts learned during self-study and industry sessions.

Mentor-Driven Personalized Learning

A group of 5 participants connects with their mentor to engage in an interactive session on solving business problems with analytics. All participant doubts are cleared as they work closely with their mentors on projects and assignments. Participants are led by an instructor as they work on data sets to learn various Analytics tools.

Industry Exposure

Each module involves industry exposure with significant interaction with the mentor and other industry guest speakers planned at regular intervals. These sessions ensure that a candidate’s learning is thorough and he is aware of latest advancements in the field of analytics.

Program Structure

The program has about 200 learning hours spread evenly over a period of 6 months designed for candidates unable to invest time for a business analytics degree. An exhaustive framework ensures focus on all critical aspects of business analysis that candidates can cover in a structured way. The curriculum combines essential business analytics tools and techniques with comprehensive assessments to ensure learning outcomes are achieved.

Module 1: Introduction to Analytics

  • Welcome and Orientation
    • Welcome to the Program
    • Orientation ( Structure of the program)
    • Analytics Landscape
    • Industry Session
    • Assessment 1
  • Linear Programming with Excel
    • Introduction to Linear Programming
    • Sensitivity Analysis
    • Mentoring Session -1
    • Assessment 2
  • Data Scientist Toolbox - R
    • Introduction to R
    • Getting and Cleaning Data using R
    • Mentoring Session -2
    • Self Study
  • Playing with Data
    • Project Brief (Twitter Data)
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 2: Fundamentals of Business Statistics

  • Descriptive Statistics
    • Overview of the course  and Problem 2 - Brief (Continue with Twitter Data)
    • Presentation of Data
    • Measures of Central Tendency and Variation
    • Correlation
    • Industry Session
    • Self Study
  • Inferential Statistics
    • Basic Probability Concepts
    • Probability Distribution
    • Mentoring Session -1
    • Self Study
  • Estimation and Hypothesis Testing
    • Estimation
    • Hypothesis Testing
    • Mentoring Session -2
    • Self Study
  • Playing With Data
    • Project Brief  - Healthcare Problem
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 3: Advanced Statistics

  • Regression
    • Over view of the Course and Problem 3 - Brief  (Continue Healthcare Data)
    • Introduction to Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Industry Session
    • Self Study
    • Purpose of ANOVA
    • Assumptions of ANOVA
    • One way ANOVA
    • Two way ANOVA
    • Mentoring Session -1
    • Self Study
  • Factor Analysis  and Principal Component Analysis
    • Factor Analysis
    • Principal Component Method
    • Dimension Reduction Problems
    • Which to use when
    • Mentoring Session -2
    • Self Study
  • Playing with Data
    • Project Brief - Marketing Problem
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 4: Data Mining

  • Data Mining Using Decision Trees
    • Overview of the course and Problem 4 - Brief (Continue with Marketing Problem )
    • Unsupervised Learning: Clustering
    • Unsupervised Association Rules
    • Industry Session
    • Self Study
  • Classification Algorithm - Decision Trees
    • Decision Tree
    • CART
    • CHAID
    • Random Forest
    • Mentoring Session - 1
    • Self Study
  • Classification Algorithm - Discriminant Analysis
    • Linear Discriminant Analysis
    • Quadratic Discriminant Analysis
    • SVM
    • K nodes Classification
    • Mentoring Session - 2
    • Self Study
  • Playing With Data
    • Project Brief: Finance Problem
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 5: Predictive Modelling

  • Neural Networks
    • Overview of the course and problem brief 5 (Finance problem)
    • Introduction to NN
    • Basic Structure
    • Application of NN
    • Industry Session
    • Self Study
  • Linear and Non-Linear Regression
    • Predictive Continuous Response
    • Non-Linear Regression 1
    • Non-Linear Regression 2
    • Non-Linear Regression 3
    • Mentoring Session -1
    • Self Study
  • Model comparison and further improvement
    • Machine Learning Techniques
    • GBM
    • Model Validation
    • Model comparison and further improvement
    • Mentoring Session -2
    • Self Study
  • Playing With Data
    • Project Brief: Supply Chain Problem
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 6: Forecasting Techniques

  • Time series Analysis
    • Overview of the course and problem brief 6 (Continue Supply chain)
    • Time Series Analysis
    • Components of Time Series
    • Winter Holt Model
    • Industry Session
    • Self Study
  • ETS Models
    • Exponential Smoothing Techniques
    • Exponential Moving Average
    • Forecasting
    • Constructing an ETS Model
    • Mentoring Session -1
    • Self Study
  • Advanced Techniques
    • Stationarity
    • Estimating AIRMA
    • Cointegration
    • Structured Break Collinearity
    • Mentoring Session -2
    • Self Study
  • Playing With Data
    • Project Brief - Macro Problem
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 7: Data Visualization in Tableau

  • Essential Design Principles for Tableau
    • Getting Started with Effective and Ineffective Visuals
    • Design Best Practices and Exploratory Analysis
    • Industry Session
    • Self Study
  • Creating Visualization with Tableau
    • Getting started and Charting
    • Mapping
    • Mentoring Session - 1
    • Self Study
  • Telling Stories with Tableau
    • Key Metrics Indicators and Decision Triggers
    • Dashboard and storytelling with data
    • Mentoring Session -2
    • Self Study
  • Playing With Data
    • Project Brief
    • Project Submission
    • Project Debrief
    • Mentoring Session -3

Module 8: Introduction to Big Data

  • Big Data: Why and Where
    • Big Data Era
    • Applications: What makes Big data Valuable
    • Industry Session
    • Self Study
  • Getting Started with Hadoop
    • Introduction to Hadoop Ecosystem
    • Map Reduce
    • Mentoring Session -2
    • Self Study
  • Getting Started with R Spark
    • Programming  with Spark
    • Mentoring session
    • Self Study
  • Playing with Data
    • Project Brief
    • Project Submission
    • Project Debrief
    • Mentoring Session - 3

Learn from the Best

In this program, candidates get to learn through video lectures recorded by Leading Analytics Faculty from Great Lakes, to of whom have been featured in the top ten analytics academicians of the country.

Dr. Bappaditya Mukhopadyay


Dr. P K Vishwanathan


Dr. Srabashi Basu


Dr. Sridhar Telidevara

Associate Professor


Personalized Learning with Industry Mentors

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

Principal Applied Scientist, Microsoft Artificial Intelligence and Research

Sr. Manager, Technology, Thomson Reuters

Data Scientist, Cognizant Technologies

Founding Member, K2 Analytics Finishing School

Vice President, Analytics, Bank of America

Science Leader, Leading Investment Bank

Assistant Manager, HSBC

Director and Head- Analytics COE, Unisys India

Vice President, Advanced Analytics, Deloitte

Chief Data Scientist & Principal Consultant (StatLab™), Facts n Data

Head Analytics, AVP Strategy, Viacom18 Media Private Limited

Senior Applied Scientist, Microsoft

Senior Director- Data Science and Analytics, Axtria

Manager, Business Analytics and Intelligence, Acclaim Technology Services

SVP, Head of Finance Analytics, Retail Bank, HSBC


Corporate Partners

A distinguishing feature of the program is the invaluable insights and mentorship that participants get from leading practitioners and senior industry executives. Organizations from which experts shall be contributing to our lectures, projects, case studies, and mentor-driven sessions include:


Experiential Learning Projects

The experiential learning projects at the end of every module enable a learner to apply their learning to real-life business problems and add it to their portfolio as a tangible 'body of work' for potential employers to see. These projects are for learning and strengthening analytical skills in different domains such as Finance, Marketing, Supply Chain, HealthCare, Policy Analysis, etc. Evaluated by industry mentors, these projects are growth enablers that instill both confidence and conviction in our candidate aiming to be a business analyst. Some of the projects are:

Default/Recovery Analytics for Financial Institution

Domain: Time series forecasting

Demand Forecasting for Optimizing Supply Chain

Domain: Predictive Modeling

Sales Forecasting In Retail Industry

Domain: Advanced Statistics

Analysis of Community Health Status Indicators

Domain: Fundamental of business statistics applying, estimation, and hypothesis testing

Recommendations on Consumer Durables data for Supermarket

Domain: Data mining

Meet the future industry leaders

This is how the class of BACP 2017 looks like.

The BACP class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles, and industries.

work-ex distribution

The BACP class consists of professionals with a wide range of work experience from 0 to 15+ years. It also has some participants who are yet to start their careers.

work-ex distribution

Industry-sector distribution

The class is composed of professionals from various roles and industries. While most candidates are from the technology sector; BFSI, Consulting, and Manufacturing sectors also contribute significantly to the batch composition.

Industry-sector distribution

One of the key indicators of quality is the organizations that our candidates are currently working with or have worked with. The candidates have been associated with leading Indian and global organizations such as:


Testimonials from our Alumni

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

DuraiAmuthan Natarajan
(Technology Professional)

"The Mentor-based approach in the program is very convenient & supportive. The good knowledge sharing that happens in the group everyday makes learning more interesting."

Pijush Maity
(IBM India Pvt. Ltd.)

"One of my friends referred me to this program and my so-far experience in the program is really good. The program has good content and has a relevance with real-life scenarios. The best part is I am able to enjoy the learning part despite of such a busy work schedule."


"The Overall experience has been great. The highlight is the assistance provided by the program support and the knowledge sharing that happens in the group. The way the doubts are being cleared is one good part of this program. The content is also very good."


A visual insight into the world of Analytics

Here are a few class videos from the recent sessions.

Analytics program with a difference
A Roadmap to Business Analytics - Tools, Techniques and Applications
A Personalised Mentorship Session with Chinar Desai

Admission Details for BACP

Following are the eligibility criteria and selection process for the Business Analytics Certification Program


Applicants should have a bachelor's degree. Students in the final year of their bachelor's degree can also apply. Graduation in a quantitative discipline like engineering, mathematics, sciences, statistics, economics, etc. would help participants get the most out of BACP program.

Selection Process

Interested candidates need to apply by filling up an Online Application Form. The Admissions committee will review all the applications and shortlist candidates based on their profiles.


Admission Details for BACP

Following are the payment details for the program:


The course fee is INR 1,25,000 + GST.

For information on easy payments and scholarship options, please contact our admissions office at +91 9599199772.


Candidates can pay the program fee through Net Banking, Credit Cards or Debit Cards.


Financial aid

Our tie-ups with several lending partners like HDFC Credila and Avanse, for students who need financial help, ensure that money is not a constraint in the path of learning.


Mark the Dates

 Here are the Application Deadlines for the program

Application Deadline: 25 January 2018

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So we encourage you to apply early and secure your seat. Apply Now

Batch commencement dates

Batch Commencement Date: January 2018

Frequently Asked Questions

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

What is the eligibility criteria for BACP?
Applicants should have a bachelor's degree. Students in the final year of their bachelor's degree can also apply. Graduation in a quantitative discipline like engineering, mathematics, sciences, statistics, economics, etc, would help participants get the most out of BACP program.
What is the program architecture of the BACP?

Business Analytics Certificate Program follows an assisted learning pedagogy and comprises of about 200 learning hours which includes live mentoring and industry sessions.

What is meant by assisted learning?
Participants are guided through a unique mentored learning process which happens in a micro class. These micro classes take place in a group of 4-5 candidates which is guided by a senior industry mentor. These classes are live classes where you will have a video interaction with your mentor and other 4 or 5 participants on 3 weekends every month.
What is the Program calendar for BACP?
The next batch starts in October 2017. Detailed assessments and calendar will be available for enrolled participants within the courses.
What is unique about the curriculum in BACP?
The BACP program is unique in the following aspects a. Personalised mentoring and industry interaction sessions every month. b. Learning happens in micro batches of 4-5 people. c. Covers industry relevant topics in statistics and analytics in depth d. Provides hands on exposure to tools such as R and Advanced Excel. Data sets are also provided. e. Experiential learning projects at the end of every module enable the candidate to apply their learning to real-world business problems. f. Interactive live sessions with industry experts and mentors provide current industry knowledge and insights. g. The online delivery model makes it convenient for working professionals to pace their learning and get doubts cleared without having to quit their jobs or travel anywhere.
How will BACP help me progress in my career?

The Business Analytics Certificate Program (BACP) equips you with the relevant knowledge and skills needed to pursue careers with the best of analytics companies or move the analytics roles within your existing organization without any location constraints.

Is BACP a completely online Program?
Yes. The program is covered using recorded content delivered by Great Lakes and industry faculty and live instructor led webinars which happens in a batch of 4 to 5 students . All assessments will also be conducted online.
Will the Program certificates be awarded by Great Lakes?
The certificates for Business Analytics Certificate Program would be awarded by Great Lakes Institute of Management.
Who would be teaching in this course?

BACP is taught by award-winning Great Lakes faculty and experienced analytics professionals. Access the faculty section above for details.

Where will the classes be held?
Participants who are enrolled in the program will have access to all course material on our Learning Management System (LMS). You will be able to attend the live sessions using the LMS.
Is BACP accredited by UGC or AICTE?
The BACP Program is an Analytics Competency development program and does not fall into the ambit of UGC or AICTE and as such their accreditation is not relevant to the Program. However, Great Lakes is accredited by AICTE and is one of the few institutions in India to also receive AMBA and SAQS accreditations.
What is the fee payment schedule for the Program?
Business Analytics Certificate Program Fee = INR 125000 + GST
What is the refund policy for the program?
Fee once received will not be refunded
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.
Would the content be available to me after completion of the course?
We believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to the candidates on the LMS even after the completion of the course.
How will I be evaluated during the Program?
BACP is a holistic and rigorous program and follows a continuous evaluation scheme. Quizzes, assignments, and experiential learning projects help us evaluate a candidate's understanding of the concepts learned.
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?
We provide our candidates and alumni with access to employment opportunities that analytics companies share with us. There are many examples of participants who have completed the Program taking advantage of these opportunities to move to new roles or companies in analytics. Please be informed that Great Lakes BACP does not offer any formal placement process as a part of the program.
How can I apply for 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 9599199772 and we shall guide you through the process.
Will there be any Financial Assistance?
We have tie-ups with HDFC Credlia, Avanse Education (DHFL Group), MoneyTap, Credifiable, and Axis Bank for providing education loans.
What are the kind of mini experiential projects I will have to complete?
There will be projects on Time series forecasting, Predictive Modeling, Advanced Statistics, estimation and hypothesis testing, and Data mining.
What is the admission process?
You will need to fill up a simple online application form. The Admissions committee will review all the applications and shortlist candidates based on their profiles.
How many batches of BACP have been launched till date?
Till date, we have launched 4 batches.
Where will our industry mentors come from?
Our industry mentors work with some of the leading organizations in the world like Microsoft, HSBC, Deloitte, Thomson Reuters, Cognizant, Unisys, Viacom, Facts n Data, Axtria, etc.
What are the tools covered in the program?

R, Tableau, Hadoop, Mapreduce, Spark

Need More Information? Download Business Analytics Certificate Program course e Brochure for complete information.