This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
This course is part of the Bayesian Statistics Specialization
Offered By
About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Statistics
- Bayesian Statistics
- Bayesian Inference
- R Programming
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Probability and Bayes' Theorem
Statistical Inference
Priors and Models for Discrete Data
Models for Continuous Data
Reviews
- 5 stars66.99%
- 4 stars25.44%
- 3 stars5.27%
- 2 stars1.34%
- 1 star0.94%
TOP REVIEWS FROM BAYESIAN STATISTICS: FROM CONCEPT TO DATA ANALYSIS
This is a good course for reviewing basic concepts of statistics, and good for starting learning Bayesian, as introduced as a basic course. If you want to learn deeper, go and find another course!
Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.
Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.
This was an invaluable learning experience. I was delighted to go through this learning.
I strongly suggest this course to anyone who wants to learn or refresh their statistics knowledge.
About the Bayesian Statistics Specialization

Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
What are the pre-requisites for this course?
What computing resources are expected for this course?
More questions? Visit the Learner Help Center.