After taking this online course, you will be able to install and run rjags, a program for Bayesian analysis within R. Using R and rjags, you will learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data. Procedures covered from a Bayesian perspective include linear regression, Poisson, logit and negative binomial regression, and ordinal regression.
March 25, 2016 to April 22, 2016
About 15 hours per week, at times of your choosing.
INR 37,740 (assuming $ = INR 60)
Part Time/Full Time:
You should take this course if you are familiar with R and with Bayesian statistics at the introductory level, and work with or interpret statistical models and need to incorporate Bayesian methods. Analysts who need to incorporate their work into real-world decisions, as opposed to formal statistical inference for publication, will be especially interested. This includes business analysts, environmental scientists, regulators, medical researchers, and engineers.