Chevron Left
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

4.6
stars
3,215 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

JH

Oct 5, 2017

This course is well prepared.The videos are of high quality and the lessons are easy to follow.I enjoyed the Honors content as well, that gives an extra challenge to those who want it.Thanks!

MM

Sep 24, 2019

Very clear and informative. Would like a more extensive and combined reference material (PDF, so less need to lookup e.g. definitions of effective sample size for various distributions).

Filter by:

501 - 525 of 840 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Susenjit G

•

Nov 22, 2018

Very Useful Course

By 思莹 王

•

May 8, 2017

It's very amazing!

By Roderick R

•

Apr 12, 2017

Excellent course!!

By Chiayu L

•

Dec 23, 2016

very great lecture

By Bruno E

•

Jul 18, 2021

Excellent course.

By Sanjay C

•

Dec 28, 2019

Very well taught.

By Steven G

•

Nov 20, 2019

Very good course.

By Yukio F

•

Sep 30, 2017

Excellent course.

By Max L d M

•

Jul 24, 2017

Very good course!

By Ankur S

•

Jan 17, 2020

Very good course

By Justin C

•

Aug 25, 2018

Excellent Course

By Gaurav a

•

Dec 26, 2017

Very encouraging

By Martin K

•

Feb 23, 2017

Best course yet!

By Abdelati L

•

Aug 7, 2024

tres bon course

By K.RAVI K

•

Apr 5, 2023

It is Excellent

By Andres H H

•

Jan 9, 2023

Muy buen curso

By Andrei M S

•

Sep 23, 2020

Learned a lot.

By Camila V

•

Feb 25, 2022

Great course!

By Jakob R

•

May 10, 2017

Great course!

By 조휘용

•

Jun 29, 2020

good course!

By Efren S

•

Dec 18, 2017

Great stuff!

By Cristopher M

•

Aug 18, 2024

nice course

By FNU R M

•

Aug 15, 2019

Nice Course

By Binghao L

•

Apr 11, 2019

nice course