Md. Saif Kabir Asif has completed

# Fundamentals of Bayesian Data Analysis in R

4 hours
4,450 XP

## 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

Machine Learning ScientistStatistician

Collaborators

Prerequisites

Introduction to R
Rasmus Bååth