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.
This chapter will introduce you to Bayesian data analysis and give you a feel for how it works.
In this chapter we will take a detailed look at the foundations of Bayesian inference.
This chapter will show you four reasons why Bayesian data analysis is a useful tool to have in your data science tool belt.
Learn what Bayes theorem is all about and how to use it for statistical inference.
Learn about using the Normal distribution to analyze continuous data and try out a tool for practical Bayesian analysis in R.