DescriptionProgram StructureEligibilityToolsFacultyContact

In this online course, you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.

Course Program:

  • Week 1: Foundations and Simple Linear Regression
  • Week 2: Multiple Linear Regression
  • Week 3: Model Building I
  • Week 4: Model Building II

Important Date:

January 23, 2015 to February 20, 2015


4 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.


INR 35,340 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Scientists, business analysts, engineers and researchers who need to model relationships in data in which a single response variable depends on multiple predictor variables. If you were introduced to regression in an introductory statistics course and now find you need a more solid grounding in the subject, this course is for you. If you are planning to learn additional topics in statistics, a good knowledge of regression is often essential.

  • R
  • SAS
  • JMP
  • SPSS
  • Minitab
  • Stata
  • XLMiner
  • Statcrunch
  • Iain Pardoe
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