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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

4.6
stars
2,593 ratings
680 reviews

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

GS
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.

JB
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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376 - 400 of 667 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Isaac R M

Feb 21, 2020

Great Course, very straightfoward

By Nathanael G

Sep 7, 2018

Very well taught and informative.

By Xin L

Mar 31, 2018

Clear and useful. Really helpful.

By Sam C

Jan 15, 2018

Good intro to Bayesian statistics

By Daniel K O

Nov 24, 2016

Clear, concise and well presented

By Andrei B

Aug 28, 2016

Great course ! Simple and clear !

By Hager A I M

Mar 25, 2019

Very informative and informative

By Electromagnet

Dec 24, 2018

Great introduction for beginners

By Rob C

Oct 11, 2018

Very well taught, thanks Herbie!

By Valluri R R

Aug 16, 2020

Excellent course - - thank you

By Yitian L L

Jun 25, 2017

VERY INSIGHTFUL AND INSTRUCTIVE

By Mas N

Jan 18, 2017

Excellent ! Thank you so much !

By Borisov V

May 10, 2019

I like this course, thank you!

By Duc H N

Mar 11, 2020

Good introduction to problems

By Shailesh K

Mar 5, 2019

Nice Course, Good Instructers

By Zhen Y

Nov 2, 2019

Very good course! Thank you

By Takashi Y

Aug 17, 2017

This is a very good course!

By Gustavo A B D

Sep 26, 2020

Muy claro en los conceptos

By Mario C

Oct 28, 2016

Simple but well explained.

By mohadeseh m

Apr 1, 2020

Very organized and useful

By Shuangli

Oct 18, 2020

It is a great lecture!

By César P O

Nov 19, 2019

It needs more examples

By peiyuan s

Sep 25, 2019

Really good! Thank you

By Ge T

Nov 1, 2020

Every easy to follow.

By Mohini R

Aug 18, 2016

I enjoyed the course.