After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
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.
Prerequisites
Curriculum
Course outline
1
What is Bayesian Data Analysis?
This chapter will introduce you to Bayesian data analysis and give you a feel for how it works.
- A first taste of Bayes50 XP
- Unknowns and ice creams50 XP
- Let's try some Bayesian data analysis50 XP
- Coin flips with prop_model100 XP
- Zombie drugs with prop_model100 XP
- Samples and posterior summaries50 XP
- Looking at samples from prop_model100 XP
- Summarizing the zombie drug experiment100 XP
- You've done some Bayesian data analysis!50 XP
2
How does Bayesian inference work?
In this chapter we will take a detailed look at the foundations of Bayesian inference.
3
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.
4
Bayesian inference with Bayes' theorem
Learn what Bayes theorem is all about and how to use it for statistical inference.
5
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.
R
Fundamentals of Bayesian Data Analysis in R
Course
Complete
