# 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
1,817 个评分
469 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.

## 251 - Bayesian Statistics: From Concept to Data Analysis 的 275 个评论（共 459 个）

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 12, 2018

Very well taught, thanks Herbie!

Aug 19, 2018

Nice short course with very practical statistical knowledge.

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.

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.

May 10, 2019

I like this course, thank you!

May 11, 2019

It was a groundbreaking course. I highly suggest it.

Apr 28, 2019

There are books and courses out there teaching you how to use machine learning tools to solve real problems. But there aren't so many like this starting from the Bayesian way. Besides, this is a good entry point for me to read the book "Pattern Recognition and Machine Learning".

May 13, 2019

The lectures are at the right pace; concise and challenging. Great examples. Thank you so much for providing us with great materials.

Apr 29, 2019

The practice exercises were very well conceived!

Apr 15, 2019

Super clear and easy to follow. Thanks for the introduction.

May 01, 2019

This course is great! Very clear, very professional, and lots of useful content!

Jun 19, 2019

Great intro to Bayesian Statistics if you have some stats background in the frequentist domain.

Jun 28, 2019

Didatic and complete course! I recomend 100%

Jul 03, 2019

Great course with a lot of simple, but illustrative exercises. It may be useful to have some basic prior knowledge of econometrics/statistics

Jul 07, 2019

very helpful for learning Bayesian on your own.

May 22, 2019

Excellent instructor and very helpful readings and assignments.

Jun 07, 2019

Excellent course. I learned late to use the note clipboard to take notes. At times the video lectures are hard to follow because the concepts are not easy. I had to watch the video lectures several times to fully grasp the concepts.

Jun 09, 2019

I thoroughly enjoyed this course as I found it to have a good mix of background and application.

Jun 12, 2019

Good to learn or re-learn the basics of statistic and probability, and as a foundation for learning maximum likelihood methods (which are much more useful later on). The material is digestible, to the point, and the quizzes are helpful in checking your understanding and information retention.

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.

Aug 04, 2019

It was an amazing course. Prof. Lee is an excellent teacher, the lectures were very interesting and illuminating, and the problems challenging and based on the material discussed. Highly recommended to get a basic idea of Bayesian statistics.

Aug 04, 2019

I really enjoyed this course, the videos are fairly short with focus on exercises and there is a nice narrative throughout the course. Sometimes I needed to watch videos again because explanations were too fast for me to follow in real time, but I definitely enjoyed presentation style of Prof. Herbert Lee. Will be following the course up with "Techniques and Models" to learn about MCMC.

Aug 15, 2019

This class is pretty helpful for the beginners and the instructor has a clear organization of the lecture. The Quizzes are also a good way to know what you have mastered. I have a better and deeper understanding of the Bayesian Statistics now.