Learn everything about Analytics

Applied Predictive Analytics- Statistics.com

0-6 Month Online
Intermediate 02-Jan-2015
Online Business Analytics
Online Self Paced 1336


[su_tab title=”Description”]

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.


[su_tab title=”Program Structure”]

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


[su_tab title=”Eligibility”]

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.


[su_tab title=”Tools”]

  • R
  • SAS


[su_tab title=”Faculty”]

Mr. Mohan Singh


[su_tab title=”Contact”]

Name :
Email :
Contact Number :
Message :
Code :






This article is quite old and you might not get a prompt response from the author. We request you to post this comment on Analytics Vidhya's Discussion portal to get your queries resolved