Skip to main content
HomeR

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.

Start Course for Free
4 hours23 videos58 exercises23,624 learnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies


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.
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

In the following Tracks

Machine Learning Scientist in R

Go To Track

Statistician in R

Go To Track
  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
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Machine Learning Scientist in R

Go To Track

Statistician in R

Go To Track

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.
See More

Don’t just take our word for it

*4.4
from 17 reviews
71%
12%
12%
6%
0%
  • Ronny H.
    3 months

    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.
    5 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.
    9 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.
    10 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.

Join over 15 million learners and start Fundamentals of Bayesian Data Analysis in R today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.