# 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

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2,367 个评分
620 条评论

## 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 608 个）

Aug 31, 2016

I followed this class with a great enthousiasm. It was very clear and pedagogical !

Feb 27, 2020

Great class. Wish if it were a classroom class - could have been better! Thanks.

Apr 03, 2018

Interesting course providing you with a well-paced start into Bayesian Statistics.

Aug 05, 2017

Great course! Well explained with useful additional material. Strongly suggested.

Sep 22, 2016

The course content is concise and straightforward. For novices it is very helpful

May 01, 2019

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

Nov 07, 2018

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

Feb 17, 2018

Nice introductory course. Some mathematics skills needed to fully appreciate.

Jun 28, 2017

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

Sep 08, 2016

Short, simple and clear explanations. I only regret the course is not longer.

Mar 20, 2018

Good start for getting familiar with Bayesian Statistics . I learned a lot .

Nov 27, 2016

Everything was perfect beginning from explonations and ending with materials

Feb 11, 2019

best course for the beginners who want to get started on bayesian inference

Apr 09, 2017

The whole course is not bad. More examples in the classes would be helpful.

Apr 18, 2020

A superb and engaging hands-on introductory course to Bayesian Statistics

Mar 15, 2019

Fun & interesting cass! Not trivial, so take good notes as you go along.

Aug 26, 2017

It is very useful to acquire a basic knowledge about Bayesian statistic.

Aug 22, 2016

Excellent lectures by Herbert Lee. Great intuitive content for learners.

Nov 21, 2018

Good and clear course. I was impressed by the quality of the material.

Jan 13, 2017

An excellent course, it opened a new perspective on statistics for me.

Sep 29, 2016

Great Course! The material is very well presented. Highly recommended.

Jan 21, 2017

Very useful lesson! give me a new perspective on daily data analysis.

Jul 28, 2017

Really enjoyed it. Right level of difficulty and very well explained

Jun 04, 2017

Leaned a new perspective to understanding uncertainty. Thanks a lot!

May 20, 2020

Challenging course, explanations are mostly clear, I learned a lot!