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Fundamentals of Bayesian Data Analysis in R

4.4+
17 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.

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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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In the following Tracks

Machine Learning Scientist in R

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Statistician in R

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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.

    Play Chapter Now
    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
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GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Machine Learning Scientist in R

Go To Track

Statistician in R

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collaborators

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Nick Solomon

prerequisites

Introduction to R
Rasmus Bååth HeadshotRasmus 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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*4.4
from 17 reviews
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  • Ronny H.
    about 1 month

    I think that bayesian concept and data analysis are the main and leading tools for today data analysis capabilities. I explain why, the fact that from i get from the data information about a parameter probability to behave in a known event which is actually a conditional probability helping to demonstrate parameter's behaving scenarios whithout a need to know the parametric distribution.

  • Mohammed A.
    3 months

    What a lovely course! It was relatively long, but I definitely learned alot. I will continue the path and take the other two courses.

  • Stephen F.
    7 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.
    8 months

    interesting course

  • Andriej P.
    about 1 year

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

"What a lovely course! It was relatively long, but I definitely learned alot. I will continue the path and take the other two courses."

Mohammed A.

"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.

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