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Modeling in R- Statistics.com

0-6 Month Online
Intermediate 06-Feb-2015
Online Business Analytics
Online Self Paced 1232


[su_tab title= “Description”]

You will learn how to use R to build statistical models and use them to analyze data.


[su_tab title= “Program Structure”]

Multiple regression is covered first followed by logistic regression. The generalized linear model is then introduced and shown to include multiple regression and logistic regression as special cases. The Poisson model for count data will be introduced and the concept of overdispersion described. You will then learn how to analyse longitudinal data, first using relatively straightforward graphics and simple inferential approaches. This will be followed by describing mixed-effects models and the generalized estimating approach for such data. The emphasis in the course is how to use R to fit the models listed and how to interpret the R output, rather than the theoretical background of the models.

Course Program:

  • Week 1: Linear Regression, Logistic Regression
  • Week 2: Generalized Linear Models With R
  • Week 3: Analysing Longitudinal Data Using R
  • Week 4: Generalized Estimating Equations

Important Date:

February 06, 2015 to March 06, 2015


4 Weeks

Time Requirement:

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


INR  37,740 (assuming $ = INR 60)

Part time/ Full Time:

Part Time


[su_tab title= “Eligibility”]

Some familiarity with statistical modeling is needed.


Anyone who is familiar with R and wants to learn how to use it to build and use statistical models.


[su_tab title= “Tools”]

  • R


[su_tab title= “Faculty”]

  • Dr. Sudha Purohit


[su_tab title= “Contact”]

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