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Back to Bayesian Statistics: From Concept to Data Analysis

Learner Reviews & Feedback for Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

3,053 ratings

About the 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


Aug 31, 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.


Oct 16, 2020

An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in

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676 - 700 of 787 Reviews for Bayesian Statistics: From Concept to Data Analysis

By cyndee f

Jan 26, 2021

Would have liked more practice problems but all-in-all, a good crash course.

By Maria C B J A

Feb 22, 2018

Good course , but contains some challenging material .Thank you Professor L

By Damien P

Feb 23, 2017

Good course, but in my opinion misses of lectures/pdf to ease understanding.

By Gyuho S

Jun 28, 2018

It was a nice introduction course. Not too heavy. I really enjoyed it.

By alaaeldin A

Feb 28, 2017

I could say , it is the best bayesian stat I ever experience till now.

By Abhimanyu R

Feb 22, 2019

This is a good course if you know probability and want to practices

By Kamil S

Apr 29, 2018

Excellent course, but the lack of the written notes is a big minus

By David M

Sep 19, 2017

Satisfied with the course in general. Good investment of my time!!

By Sergio E M P

May 13, 2022

es una buena heramienta de aprendisaje pero tiene algunos errores


Apr 6, 2020

Good introduction, but there is no variety in the test questions

By Eddie C

Jan 8, 2020

Quite harsh but give me some insight on prediction and estimation

By Eddie G

Apr 21, 2019

It would have been better to have more data analysis applications

By Chunhui G

Mar 7, 2019

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

By Chuting C

Jun 20, 2022

It was a good course in general, but the math got me struggling

By Toan H

Mar 15, 2021

The section on regression can use a bit more Bayesian treatment

By Aravind M

Apr 17, 2019

Good introductory course. Could provide more hands-on examples

By Juan C C E

Feb 23, 2020

Explain with more details the concepts, the mathematics is ok

By Dziem N

Jun 22, 2020

I wish there are lecture notes to accompany the videos.

By Wate S

Dec 23, 2017

For me Chinese, it 's not easy to understand the quiz.

By Vittorino M C

Jul 17, 2020

Well explained, I fit all the gaps about probability.

By Gil S

Mar 3, 2019

Clear and consise introduction to Bayesian statistics

By Yuan R

Nov 5, 2016

Good and simple introduction for Bayesian statistics.

By sunsik k

Aug 23, 2017

well instructed basic course of Bayesian statistics.

By Alexei M

May 13, 2018

More examples are required as well as more practice

By Venkataraghavan P K

Feb 10, 2019

Loved the theory & analytical part of the course.