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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
3,156 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

AO

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Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!

AH

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Great course in a difficult subject. Well structured. Requires some previous knowledge otherwise difficult to follow. Big thanks to professor Lee for bringing to us this content.

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251 - 275 of 826 Reviews for Bayesian Statistics: From Concept to Data Analysis

By Raoul M

Nov 15, 2017

Very informative and clear presentation of the material, which makes it fun and quick to learn the topics. Very good quiz questions.

By Xiaoyang G

Jul 7, 2016

This course is a very good introductory of bayesian statistics. But it better that you have known the basic statistics inference.

By Humberto R C

Nov 6, 2017

A clear and compact introduction. Quizzes and exercises are relevant. I got acces to grades and feedback in the audit one I took.

By Raj S

Feb 8, 2017

Learned something new :). Lecture were excellent, but, I need time to digest and hope I will get opportunity to use it in future.

By Tetsuhiko O

Jan 20, 2018

I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.

By Felipe C

Dec 13, 2020

Quite interesting course ant not too long. I learnt many interesting and useful concepts in statistics. Highly recommendable.

By Jose M R F

Jul 14, 2019

Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.

By Zhirui W

Sep 25, 2017

Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.

By Steve T

Jul 3, 2023

Delivered at an appropriate pace with an optimal mix of explanation/discussion, derivations and practical data applications.

By Eduardo M

Jan 4, 2019

Very good material! The Prof explains very easily the contents of the course. Great course! I recommend. E. Martins, Brazil

By 王颖亮

Aug 5, 2018

The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.

By Salaheldin G

Dec 26, 2017

Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.

By Miles D R

Aug 15, 2019

This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.

By Francisco J S G

Aug 26, 2018

A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.

By Álvaro Q A

Mar 27, 2018

It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.

By Jack

May 17, 2018

The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!

By George P

Feb 24, 2017

Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.

By Shakir B

Aug 3, 2020

Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.

By Alexandr B

May 27, 2018

Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course

By Flavio P

Aug 10, 2017

Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.

By kacl780tr

Jul 6, 2017

Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.

By 张宁

Sep 24, 2016

This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.

By 郭冰

Mar 10, 2017

I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.

By M J H

Aug 22, 2021

Great starting point to study bayesian statistics, though it requires some previous knowledge on basic statistics.

By Zach K

Aug 3, 2020

I learned a ton about statistics and probability distributions. It was great prep for my machine learning classes.