PEDIGREE MATTERS

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Great Lakes Certificate

Rated 4+/5

by 95% Participants

2 Million +

LEARNING HOURS DELIVERED

  • Ranked #1 in Analytics Education*

    Great Lakes' program has been ranked as the #1 in India for 3 years in a row!

  • 66% SUCCESSFUL TRANSITIONS

    66% of alumni have transitioned to business and functional roles in the industry.

  • WEEKEND MENTORSHIP + ONLINE

    BACP is India’s first mentorship driven online program. Participants attend interactive sessions with program mentors in small cohorts.

  • CAREER SUPPORT

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

How Does Mentorship Work?

A group of 5 participants regularly connects during the weekends to engage in an interactive session with one of our 100+ distinguished industry mentors assigned to the group.

"The time bound assignment and quizzes were very helpful and the assistance provided through mentorship to complete the course was praiseworthy."

Debasish Sahu

Works at

Participants are led by an instructor as they work on data sets to learn various Analytics tools. All participant doubts are cleared as they work closely with their mentors on projects and assignments.

"Great Learning's BACP has helped me get a detailed insight into the wonderful world of analytics. The mentors were very helpful when it came to addressing our queries even after the sessions, and the video content was just right for our understanding!"

Sriparna Saha

Works at

Our Mentors go beyond concept walk throughs, doubt clearing and projects, to help participants achieve their learning goals and also support them in their career transition in Analytics.

"The structure of the program is very easy to understand. The mentors are very supportive and help you learn concepts in one-on-one interactions. The mini-projects provide hands-on practice and the quizzes ensure that whatever we learned through the videos every week stays with us."

Ekjyot Singh Rehsi

Works at

The Great Learning Experience

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. 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.

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, provide 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. 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 certificate 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.

Program Structure

  • weekend Instructor Led Classes

    48 hours of Personalised Mentorship from analytics professionals working in leading companies

  • Online Content

    Best-in-class recorded content from Expert Faculty and Industry Mentors

  • Hands-On Projects

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

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

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

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
ANOVA
  • 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

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

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

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

Data Visualization in Tableau (Optional)

  • Essential Design Principles for Tableau
  • Design Best Practices & Exploratory Analysis
  • Getting started and Charting
  • Telling Stories with Tableau
  • Dashboard and Storytelling with Data
  • Getting Started with Effective and Ineffective Visual
  • Creating Visualization with Tableau
  • Mapping
  • Key Metrics Indicators and Decision Triggers

Introduction to Big Data (Optional)

  • Big Data: Why and Where
  • Applications: What Makes Big Data Valuable
  • Introduction to Hadoop Ecosystem
  • Getting Started with R Spark
  • Big Data Era
  • Getting Started with Hadoop
  • Map Reduce
  • Programming with Spark
 

Learn from The Best Analytics Faculty

The faculty pool of the program consists of leading academicians in the field of data analytics
along with several experienced industry practitioners from leading organizations

Dr. Bappaditya Mukhopadyay

Professor

Dr. P K Vishwanathan

Professor

Dr. Srabashi Basu

Professor

Dr. Sridhar Telidevara

Associate Professor

 

Hands-on Learning WITH INDUSTRY MENTORS

Get invaluable input 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 and case studies include

Experiential Learning

Real-World Analytics Projects

Sample ePortfolio

Showcase Your Learning and Projects in Snapshot and Establish Your Credibility in Business Analytics

  • 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

Alumni Success

66%

Career Transitions

Amongst Alumni

2 Million +

LEARNING HOURS DELIVERED

Here's what some of our past students had to say

Our alumni empower us to move ahead with our mission of driving career success in the new digital economy

  • The structure of the program is very easy to understand. The best part of this program is that it is informative and very flexible for people who are working so there is no unnecessary pressure building up at the last moment. Projects mean learning especially for someone who is not from an Analytics background.

    Ekjyot Singh Rehsi
    Works at
  • 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.

    Pijush Maity
    Works at
  • 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.

    SRIKAR MAKALA
    Works at

A visual insight into the world of ANALYTICS

Admission Details Business Analytics Certificate Program

Following are the eligibility criteria and selection process for India’s first mentor-driven online program

ELIGIBILITY
  • Applicants should have a bachelor's degree with a minimum of 50% aggregate marks or equivalent.

  • Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background.

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

  • The Admissions committee and faculty panel will review all the applications and shortlist candidates based on their profiles.

  • offer will be made to selected applicants

*Admissions will be closed once the requisite number of candidates have been admitted into the program.

PAYMENT Details
for the - Business Analytics Certificate Program

Following are the payment details for the program:

FEES

1,25,000 + GST

INCLUDES

Online Content

Tuition Fee

Learning Material

Mentorship Sessions

PAYMENTS

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

FINANCIAL AID

Pay in 12 EMIs at 0% interest Rate with ZestMoney. Start learning at Rs. 9833/month!

 

Mark the Dates

 Here are the Application Deadlines for the program

Application Deadline: 19 April 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 Date: 20th April, 2018
 

Frequently Asked Questions

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

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.
What is meant by mentored 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 eligibility criteria for BACP?

BACP is mostly pursued by working professionals planning to make a career transition into analytics roles. We also have students in their final year of graduation benefiting from the program. Graduation in a quantitative discipline like engineering, mathematics, sciences, statistics, economics, etc, would help participants get the most out of BACP program.

How will BACP help me progress in my career?

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. We also 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.

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 for details.

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.  You can also choose to Pay this amount in 12 instalments at 0% EMI and learn at Rs. 9833/month.

Will there be any Financial Assistance?

We have tie-up with ZestMoney to provide you with an option to pay 12 instalments at 0% EMI. So you can start learning at Rs. 9833/month.

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 bacp@greatlearning.in
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 bacp@greatlearning.in or call us at 9599199772 and we shall guide you through the process.

Are there any experiential projects as part of BACP?

Participants do several experiential projects on Time series forecasting, Predictive Modeling, Advanced Statistics, estimation and hypothesis testing, and Data mining. For details of projects please refer the experiential learning section.

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. Please refer to the admissions process section for more details.

Which companies do BACP industry mentors work for?

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, Spark

What is the refund policy for the program?
Fee once received will not be refunded
Need More Information? Download Business Analytics Certificate Program course e Brochure for complete information.