Fundamentals of Bayesian Data Analysis in R

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Free Online Course: Fundamentals of Bayesian Data Analysis in R provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Fundamentals of Bayesian Data Analysis in R is taught by Rasmus Bååth.

Overview
  • Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

    Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: What it is, how it works, and why it is a useful tool to have in your data science toolbox.

Syllabus
  • What is Bayesian Data Analysis?
    -This chapter will introduce you to Bayesian data analysis and give you a feel for how it works.

    How does Bayesian inference work?
    -In this chapter we will take a detailed look at the foundations of Bayesian inference.

    Why use Bayesian Data Analysis?
    -This chapter will show you four reasons why Bayesian data analysis is a useful tool to have in your data science tool belt.

    ayesian inference with Bayes' theorem
    -Learn what Bayes theorem is all about and how to use it for statistical inference.

    More parameters, more data, and more Bayes
    -Learn about using the Normal distribution to analyze continuous data and try out a tool for practical Bayesian analysis in R.