# Fundamentals of Bayesian Data Analysis in R

4.5+
12 reviews
Beginner

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

4 Hours23 Videos58 Exercises
21,279 Learners

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## 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.
1. 1

### What is Bayesian Data Analysis?

Free

This chapter will introduce you to Bayesian data analysis and give you a feel for how it works.

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A first taste of Bayes
50 xp
Unknowns and ice creams
50 xp
Let's try some Bayesian data analysis
50 xp
Coin flips with prop_model
100 xp
Zombie drugs with prop_model
100 xp
Samples and posterior summaries
50 xp
Looking at samples from prop_model
100 xp
Summarizing the zombie drug experiment
100 xp
You've done some Bayesian data analysis!
50 xp
2. 2

### How does Bayesian inference work?

In this chapter we will take a detailed look at the foundations of Bayesian inference.

3. 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. 4

### Bayesian inference with Bayes' theorem

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

5. 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.

In the following tracks

Machine Learning Scientist with RStatistician with R

Collaborators

Prerequisites

Introduction to R  Rasmus Bååth

Rasmus Bååth is a Data Science Lead at castle.io. Previously, he was an instructor and Curriculum Lead for Projects at DataCamp. He has a PhD in Cognitive Science from Lund University in Sweden. Follow him at @rabaath on Twitter or on his blog, Publishable Stuff.
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## Don’t just take our word for it

*4.5
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• Andriej P.
11 days

A simple and intelligible introduction to Bayesian statistics and Bayesian thinking.

• Nicolas F.

After completing this training, I understand Bayesian statistics with the acknowledgement that I am just a beginner. This was a great and easily understandable introduction course, thank you!

• Ellie M.
5 months

Made really easy to follow, understand and lear with great examples!

• Mike D.
6 months

It’s very good start to learn applying Bayes theorem in the real world!

• Weiran Y.
8 months

Very helpful for a Bayesian beginner like me !!

"A simple and intelligible introduction to Bayesian statistics and Bayesian thinking."

Andriej P.

"After completing this training, I understand Bayesian statistics with the acknowledgement that I am just a beginner. This was a great and easily understandable introduction course, thank you!"

Nicolas F.

"Made really easy to follow, understand and lear with great examples!"

Ellie M.