Bayesian Statistics Using R

University of Canterbury via edX Professional Certificate

edX Professional Certificate based on 0 ratings

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Overview

This course offers an introduction to Bayesian statistics, a powerful statistical paradigm used to analyze data and make probabilistic inferences. Students will learn about Bayesian models, prior and posterior distributions, and the process of updating beliefs based on new evidence. The course focuses on practical applications using R, one of the most widely used programming languages for statistical analysis. Students will apply Bayesian methods to real-world data, including tasks like regression, classification, and hypothesis testing. The course emphasizes the importance...

Syllabus

Courses under this program:Course 1: Introduction to Bayesian Statistics Using RLearn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R. Course 2: Advanced Bayesian Statistics Using RNow that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Lets take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods