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Bayesian Statistics: From Concept to Data Analysis, University of California, Santa Cruz

4.6
1,434 ratings
386 reviews

About this Course

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....

Top reviews

By GS

Sep 01, 2017

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.

By JH

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

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377 Reviews

By Stephen Hou

Mar 18, 2019

A very nice introduction to Bayesian Statistics in a couple of hours. The course is quite intuitive and concise.

By Jakob Lavröd

Mar 16, 2019

Good introduction and interesting topics. However, some of the model analyses are not appropriate and feels artificial.

By Usman Qazi

Mar 15, 2019

Fun & interesting cass! Not trivial, so take good notes as you go along.

By Timo Koski

Mar 13, 2019

Very good overview to the area. Efficient and clear lectures - emphasis on the quizzes that required just a proper amount of focus and time from my personal point of view.

By Daniyar Meimankhan

Mar 11, 2019

refreshed university materials and also gained deep understanding of probability theorems

By Fernando Díaz López

Mar 11, 2019

It's a good course to know the principal concepts of Bayesian statistics. Also, the course has excellent examples to understand thew concepts.

By Jaime Emmanuel Alcalá Temores

Mar 08, 2019

I recommend this course for anyone interested in learning Bayesian statistics: You can start here. It covers the core concepts as well as some computations using R and Excel.

By Guangyuan Li

Mar 07, 2019

a little bit difficult, I think you need to hold a solide background toward inferential statistics

By Chunhui Gu

Mar 07, 2019

These are a lot of stuffs that the professor didn't say clearly.

By Shailesh Kumar

Mar 06, 2019

Nice Course, Good Instructers