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Great Lakes PG Program in Business Analytics & Business Intelligence
Gurgaon | Bangalore | Chennai | Hyderabad | Mumbai | Pune
Post Graduate Program in Business Analytics & Business Intelligence
Session: 2018-2019
Great Lakes PG Program in Business Analytics & Business Intelligence is a 12-month program that builds candidates' analytical and management capabilities through a structured learning framework, hence preparing them for business and functional roles in the analytics industry.

The program has about 240 hours of classroom sessions and 200 hours of online learning including capstone project 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.
  • Introduction to Analytics
    • Introduction to Analytics
    • Introduction to R
  • Statistical Methods for Decision Making
    • Data collection, presentation, and visuals, measures of central tendency, dispersion, and correlation
    • Introduction to probability and distributions
    • Hypothesis testing and estimation
    • Goodness of Fit, Test of independence
  • Marketing and CRM
    • Market segmentation, targeting, and positioning
    • RFM Analysis
    • Customer lifetime value
    • Marketing metrics for CRM
  • Business Finance
    • Understanding and analyzing financial statements
    • Ratio analysis as a tool to evaluate performance
    • Profit planning and budgeting
    • Cash and receivables management
  • Advanced Statistics
    • Basics of ANOVA, ANOVA with interaction effects
    • Regression Analysis (SLR, MLR)
    • Factor analysis
    • Principal Component Analysis
  • Data Mining
    • Clustering (Hierarchical and Non-Hierarchical)
    • Decision Trees (CART)
    • Random Forest
    • Neural Networks
  • Predictive Modeling
    • Linear Regression (MLR, Dummy Regression, Conjoint Analysis, Multicollinearity)
    • Logistic Regression
    • Discriminant analysis
  • Time Series Forecasting
    • Time Series Forecasting
  • Machine Learning
    • End to end problem solving, other techniques and applications
  • Optimization Techniques
    • Linear programming and applications
    • Integer and mixed integer programming and applications
    • Goal programming
    • Non-linear programming
  • Data Visualization using Tableau
    • Data visualization using Tableau
  • Marketing and Retail Analytics
    • Pricing Analytics
    • Market Basket Analysis
    • Customer analytics and churn models
  • Finance and Risk Analytics
    • Market Risk
    • Credit risk (Retail and Corporate)
    • Prediction and Prevention of Fraud
  • Web and Social Media Analytics
    • Google Analytics
    • Campaign Analytics
    • Text Mining and Sentiment Analysis
  • Supply Chain and Logistics Analytics
    • Supply Chain Management Overview
    • Procurement Analytics
    • Logistics Analytics (inbound and outbound)
  • Industry Interaction
    • Landscape
    • Career Guidance Workshop
    • Big Data Analytics
    • Alumni Discussion
    • Domains Applications
  • Tools to be covered
    • R
    • Tableau
    • SAS (online)
  • Experiential learning
    • Capstone Project
    • Case studies/Assignments
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. Applicants must have at least 2 years of full-time post qualification work experience.
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. These candidates will be invited for an interview and an offer will be made to the selected applicants.

*Admissions will be closed once the requisite number of candidates have been admitted into the program.
Gurgaon, Bangalore, Chandigarh, Chennai, Hyderabad, Pune, Mumbai
Rs. 3,95,000 + GST
Includes cafeteria, tuition fee, learning material and lab access.
For information on easy payments and scholarship options, please contact our admissions office at +91 87506 48238.

Candidates can pay the program fee through Cheque, DD, Net Banking, Credit Cards or Debit Cards.*
*Great Learning does not accept cash payments and issues receipts for all fee payments made towards all our programs.

Financial aid
Selected students can contact the Admissions Office for assistance in applying for loans after receiving the offer of admission. Our lending partners include HDFC Credila, Avanse. We ensure money is not a constraint in the path of learning.

Application Deadline : 17th May 2018

Batch Commencement Dates
Bangalore (Jun/Jul 2018) Mumbai (April 2018)
Chennai (April 2018) Gurgaon (Jun/Jul 2018)
Hyderabad (Jun/Jul 2018) Pune (Jun/Jul 2018)
Chandigarh (Jun/Jul 2018)  
For further details contact:
Email: pgpbabi@greatlearning.in
Mobile: +91 87506 48238

Source : greatlearning.in

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