Business Analytics

Analytics is the next big thing that is already starting to transform businesses and their ability to compete by helping them make smarter decisions. Analytics is the new career of choice for those who want to stay ahead. It is among the most well paid careers (it is also among the most well-paid first-jobs). Analytics is one of the best career options today and those who invest in it will be on the fast track to success.

Available Courses

Introduction

The Post Graduate Certificate in Business Analytics is the most comprehensive training program - it is designed based on inputs from the industry. It is designed and developed by practitioners and is delivered by experts. The program includes both - concepts as well as the hands-on skills through assignments, cases, and projects to succeed in an Analytics career.

Audience

BTech/ MCom/ MBA or Equivalent graduates, with Maths / Stats/ Eco as one of the subjects in graduation and post-graduation.

Pre-requisites

Candidate should be a graduate, BTech/ MCom/ MBA or Equivalent. Bachelor's or Master's degree with Maths / Stats/ Eco as one of the subjects. Candidate should have minimum 60% aggregate marks in Class 12. If Candidate has less than 60% but more than or equal to 55% in class 12, the graduation marks should be 60% or more.

Exit Profile

After completing the program, learner will be able to understand business problems involving analytics and independently do statistical modelling for predictive analytics for a variety of business functions in a number of key industry verticals.

Semester Details

Course Name

Information Management in Analytics (IMA)

Course Description
  • Analytics Software and Programming
  • Data preparation (ETL) and Visualization
  • Analytic Software - R, Excel ,Solver
  • Basics of Big Data-Hadoop,HDFS,Hive,Pig,Python
Course Name

Analytics Project

Course Description

Analytics Project

Course Name

Special Analytical Methods (SAM)

Course Description
  • Advanced Predictive Methods
  • Machine Learning
  • Data Mining
  • Text Mining
Course Name

Statistical Inference (SI)

Course Description
  • Sampling techniques
  • Estimation-Point and Interval
  • Hypothesis Testing
  • Correlation
  • Regression-Linear, Non-Linear , Logistic
  • Basics of Time Series
  • ANOVA
Course Name

Case Study in Analytics1 (CSA1)

Course Description

Integrated Cases

Course Name

Applications of Analytics in Business Function (AABF)

Course Description
  • Financial Management
  • Operations Management (Including OR)
  • Marketing Management
  • Qualitative and Quantitative Applications in MR
  • Supply Chain Management and Applications of OR
  • Human Resource Management
Course Name

Foundation of Analytics(FA)

Course Description
  • Business Analytics-Applications and Scope
  • Essential Mathematics for Analytics
  • Essential Economics for Analytics
  • Fundamental Statistics for Analytics
Course Name

Application of Analytics in Integrated Business-Environment

Course Description
  • Banking Analytics
  • Healthcare Analytics
  • Telecom Analytics
  • Entertainment Analytics
  • Media Analytics
Course Name

Advanced Business Forecasting (ABF)

Course Description
  • Adv Forecasting - Exponential Smoothing, Parameters
  • AR,MA,ARMA & ARIMA
  • Heteroscedastic Time Series -ARCH, GARCH
  • Forecasting/Time Series using R
Course Name

Business Analytics Project

Course Description

Integrated Cases

Course Name

Advanced Analytics

Course Description
  • Advanced Linear Algebra
  • Advanced Machine Learning
  • Advanced Data Mining & Text Mining
  • Advanced Operations Research
  • Advanced Market Research
  • Big Data Analytics