# 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
1,987 个评分
521 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.

## 301 - Bayesian Statistics: From Concept to Data Analysis 的 325 个评论（共 512 个）

Apr 01, 2020

Very organized and useful

Nov 19, 2019

It needs more examples

Sep 26, 2019

Really good! Thank you

Aug 18, 2016

I enjoyed the course.

Jul 25, 2017

Wow!!! it was great!

Mar 12, 2020

A very nice course

Oct 14, 2019

Good fundamentals.

Nov 23, 2018

Very Useful Course

May 08, 2017

It's very amazing!

Apr 12, 2017

Excellent course!!

Dec 23, 2016

very great lecture

Dec 29, 2019

Very well taught.

Nov 20, 2019

Very good course.

Oct 01, 2017

Excellent course.

Jul 24, 2017

Very good course!

Jan 17, 2020

Very good course

Aug 26, 2018

Excellent Course

Dec 26, 2017

Very encouraging

Feb 24, 2017

Best course yet!

May 10, 2017

Great course!

Dec 18, 2017

Great stuff!

Aug 16, 2019

Nice Course

Apr 12, 2019

nice course

Oct 11, 2017

Good course

Feb 27, 2018

Excellent!