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.
- 4 hours
- 23 Videos
- 58 Exercises
- 9,841 Participants
- 4,450 XP
Create Your Free Account
By pressing Continue you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.
Loved by learners at thousands of top 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.
-
1
What is Bayesian Data Analysis?
FreeThis chapter will introduce you to Bayesian data analysis and give you a feel for how it works.
-
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.
-
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.
-
How does Bayesian inference work?
In this chapter we will take a detailed look at the foundations of Bayesian inference.
-
Bayesian inference with Bayes' theorem
Learn what Bayes theorem is all about and how to use it for statistical inference.
-
1
What is Bayesian Data Analysis?
FreeThis chapter will introduce you to Bayesian data analysis and give you a feel for how it works.
-
How does Bayesian inference work?
In this chapter we will take a detailed look at the foundations of Bayesian inference.
-
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.
-
Bayesian inference with Bayes' theorem
Learn what Bayes theorem is all about and how to use it for statistical inference.
-
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.
What do other learners have to say?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
Rasmus Bååth
Senior Data Scientist at King (Activision Blizzard)
I'm a Data Scientist at Castle.io and previously I've been an instructor at DataCamp. I once did a PhD in Cognitive Science at Lund University. I'm passionate about Bayesian statistics, good graphs and free coffee. Follow me @rabaath on Twitter or check out my blog, Publishable Stuff.
See MoreCollaborators
-
Chester Ismay
-
Nick Solomon