# 学生对 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的评价和反馈

4.6
1,813 个评分
468 个审阅

## 课程概述

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....

## 热门审阅

##### GS

Sep 01, 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.

##### JH

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

## 226 - Bayesian Statistics: From Concept to Data Analysis 的 250 个评论（共 458 个）

Dec 18, 2017

Great stuff!

May 27, 2018

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

May 17, 2018

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

Aug 06, 2017

A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics

Feb 18, 2018

The coolest part of this lecture is mathematical explanation of concepts, especially about conjugate priors.

Mar 31, 2018

May 06, 2018

I like the course and how the questions are designed. I wish it can be accompanied by a booklet of transcripts of some sort. Videos are good, but so are traditional reading materials.

Apr 21, 2018

Great explanations, with detailed steps to follow.

Jul 06, 2017

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

Jun 28, 2017

This is a very useful course for people to do the data analysis in astronomy.

Sep 22, 2017

Excellent introduction to Bayesian inference. Dr. Lee struck an exceptional balance between presenting concepts and ideas with self-learning through the homework quizzes. I look forward to learning more analysis techniques in subsequent courses!

Feb 12, 2018

Invaluable. Excellent quizzes. A few terms could have been better defined, and a few more examples wouldn't hurt, but overall excellent.

Sep 22, 2018

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

Sep 28, 2018

Completed

Sep 28, 2018

Very clean and precise explanations as well as concepts explained under different paradigm

Aug 27, 2018

Good introductory course on Bayesian Statistics.

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.

Aug 26, 2018

Excellent Course

Aug 28, 2018

This course strikes a perfect balance between not being too simple or too slow on one hand, and offering an easily accessible introduction to many central topic of Bayesian statistics on the other.

I think that good knowledge of basic probability theory and one-variable calculus is necessary for getting the maximum out of this course. This, however, is strictly due to the probabilistic underpinnings of the Bayesian theory.

Aug 19, 2018

Nice short course with very practical statistical knowledge.

Oct 08, 2018

Awesome course that helped me overcome the Bayesian statistics way of thinking hurdle. Now, I want to go on and learn MCMC, Metropolis !

Oct 03, 2018

This was a fantastic introduction to Bayesian statistics. Professor Lee is an excellent lecturer, with a comfortable, almost conversational style that I found easy to follow and stay focused on. The course itself is very well organized, introducing key concepts and then immediately providing examples that helped me internalize the concepts they pertained to. Quizzes were low pressure, straightforward applications of the lectures that served the purpose of allowing me to immediately apply what I had just learned.

Oct 04, 2018

I loved this course, I learned a lot and I hope I will be able to use this knowledge when I go back to college for my Master's degree.

Oct 30, 2018

Excellent course ! Full of examples and very useful to a deeper understanding of the domain.

Nov 07, 2018

Great course for beginners as well as those that need a refresher on the basics!