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# Fundamentals of Bayesian Data Analysis in R

4.5+
14 reviews
Intermediate

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

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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.

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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

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#### Statistician with R

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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
from 14 reviews
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• Stephen F.
4 months

It was a good start. Suggest longer recap at the end. The cost is ok for me but may not be for some.

• Dimitris L.
5 months

interesting course

• Andriej P.
10 months

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

• Nicolas F.
11 months

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.

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

"It was a good start. Suggest longer recap at the end. The cost is ok for me but may not be for some."

Stephen F.

"interesting course"

Dimitris L.

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

Andriej P.