This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction.
Bayesian StatisticsDuke University
About this Course
Skills you will gain
- Bayesian Statistics
- Bayesian Linear Regression
- Bayesian Inference
- R Programming
Syllabus - What you will learn from this course
About the Specialization and the Course
The Basics of Bayesian Statistics
- 5 stars45.05%
- 4 stars20.55%
- 3 stars14.72%
- 2 stars9.13%
- 1 star10.53%
TOP REVIEWS FROM BAYESIAN STATISTICS
The course has seen a lot of improvement with new study materials and videos. I'd say that this is now much better than what the course was previously.
I find the teaching a bit unclear. I still don't sure I understand how to use Bayesianinference on problems I encounter in my work.
It was a good course, though I would include more coursework and exercises in R to assist with comprehending a difficult subject. Overall, good course for something that's difficult to teach.
The section about Beta-Binomial Conjugate is taught very fast and unless the student is quite familiar with Beta and Gamma distributions, it makes it very difficult to follow the course.
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 background knowledge is necessary?
Will I receive a transcript from Duke University for completing this course?
More questions? Visit the Learner Help Center.