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
3,227 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

AS

Jul 13, 2020

It's an amazing course, I strongly recommend. It was like a complementary course for the Data Analysis course of my university, giving a wide explanation over bayesian analysis. I'm glad to finish it.

KK

Nov 13, 2020

A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.

Filter by:

501 - 525 of 845 Reviews for Bayesian Statistics: From Concept to Data Analysis

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 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!