Bayesian Statistics Using R

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Bayesian Statistics Using R provided by edX is a comprehensive online course, which lasts for 12 weeks long, 5-10 hours a week. Bayesian Statistics Using R is taught by Elena Moltchanova. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is $278.00. Visit the course page at edX for detailed price information.

Overview
  • Bayesian approach is becoming increasingly popular in all fields of data analysis, including but not limited to epidemiology, ecology, economics, and political sciences. It also plays an increasingly important role in data mining and deep learning.

    This program provides a practical introduction to applied Bayesian data analysis, combining theory, philosophy and computational facility with the emphasis on formulating and answering real life questions. The two courses provide a broad overview of the fundamentals of Bayesian inference via clear practical examples and may serve as a stepping stone towards any other, more specialized, topic in Bayesian statistics.

Syllabus
  • Courses under this program:
    Course 1: Introduction to Bayesian Statistics Using R

    Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.



    Course 2: Advanced Bayesian Statistics Using R

    Now that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Let’s take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods