# 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
2,682 个评分
699 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
Aug 31, 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.

JB
Oct 16, 2020

An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in

## 251 - Bayesian Statistics: From Concept to Data Analysis 的 275 个评论（共 686 个）

Feb 11, 2020

This course has well structured content. Quizzes are also designed in sync with the course. Enjoyed it!!!

Dec 13, 2018

The bite-sized arrangement of individual videos are very conducive for learning and self internalisation.

Jan 21, 2020

Excellent course. More R examples. Looking forward to see a course on pymc3 or Tensorflow probability.

Apr 8, 2019

This is an excellent course but you will need background in calculus and some statistics to begin with

Nov 24, 2020

Excellent! Clear presentations, very bottom line up front with transparent examples, good course.

Jun 9, 2019

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

Jun 12, 2018

It was an excellent course. It´s a very good introduction to the Bayesian approach to inference.

Mar 12, 2018

Great introduction to Bayesian Statistics with some easy-enough-to-follow mathematical insights.

Jun 19, 2019

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

Nov 3, 2019

Excellent introduction to basic Bayesian analysis and coverage of conjugate priors/posteriors.

Oct 30, 2018

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

May 12, 2018

The presentation was excellent. The quizzes were reasonable. This was a good use of my time.

Aug 23, 2020

For me, the course was well explain, the examples used help me to understand in a easy way.

Jul 5, 2017

A good course for introducing to Beysian pobability. Easy to understand and very practical.

Sep 28, 2018

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

Mar 11, 2019

refreshed university materials and also gained deep understanding of probability theorems

May 29, 2017

Very gentle and at the same time mostly rigorous introduction into the Bayes probability.

May 15, 2017

Great course. Delivers what promises: Bayesian Statistics: From Concept to Data Analysis.

Jan 6, 2020

I liked the way it was taught, It's nice for who is looking for to expand data analysis.

Jul 7, 2017

Awesome.. Good overview, but the concepts are much deeper, the second part is also must.

Aug 25, 2020

If the tutor could further clarify normal prior in Week4 Lesson 10, it could be better.

Nov 26, 2017

Very helpful and extremely educational. One of those rare courses I actually finished!

Feb 12, 2017

A well-designed course with sufficient support materials and useful practice exercises.

Apr 2, 2019

Very well structured and informative content. Also the delivery of content is amazing.