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In this online course, “Applied Predictive Analytics,” you will apply machine learning techniques in real world case studies. This course is really a “lab” for practically testing your skills on live business projects.  It provides a hands-on mentored case-study approach.

Each week, participants will be given a set of exercises and instructions to work on the raw data or processed data (details below). Users will apply their statistical/machine learning knowledge, along with their business understanding, to solve the problems and interpret the modeling results for the given business objective. The course will follow an iterative approach for problem solving, in which users are required to submit modeling responses multiple times.

Course Program:

  • WEEK 1: Business Case Study, Introduction and Data Pre-processing
  • WEEK 2: Classification Problem, Data Sampling, and Feature Selection
  • WEEK 3: Modeling & Evaluation, Leaderboard Prediction
  • WEEK 4: Visualization and Analysis & model interpretation for business case study

Important Date:

January 02, 2015 to January 30, 2015

Time Requirement:

About 15 hours per week, at times of your choosing


4 Weeks


INR 37,740 (assuming $ = INR 60)

Part time/Full Time:

Part Time

Business analysts, R users, SAS users, statistical analysts who want to learn to implement and apply machine learning techniques to solve predictive analytics problems in a real world business case. Data mining analysts who want extend their knowledge to include machine learning techniques for data modelling.


You must have basic programming level skills to write R code and to be able to optimize and experiment with code.

  • R
  • SAS

Mr. Mohan Singh

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