Fundamentals of Bayesian Data Analysis in R

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

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4 Hours23 Videos58 Exercises17,068 Learners
4450 XP

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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

In the following tracks

Machine Learning ScientistStatistician

Collaborators

Nick SolomonChester Ismay

Prerequisites

Introduction to R
Rasmus Bååth Headshot

Rasmus Bååth

Data Science Lead at castle.io

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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