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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
3,124 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

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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476 - 500 of 813 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Shuangli G

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 Sergey N

Feb 17, 2021

Very clear and useful

By Ge T

Nov 1, 2020

Every easy to follow.

By Mohini S

Aug 18, 2016

I enjoyed the course.

By Sergio G

Jul 24, 2017

Wow!!! it was great!

By Guowei Z

Oct 30, 2021

Absolutely amazing!

By agustin a

Sep 18, 2020

Excelente curso !!!

By Rudit S

Aug 2, 2021

best to start with

By Aleksander M

Mar 12, 2020

A very nice course

By Dave N

Oct 13, 2019

Good fundamentals.

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 m 2

Nov 23, 2020

Aprendi muchisimo

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