# 學生對 加州大学圣克鲁兹分校 提供的 Bayesian Statistics: From Concept to Data Analysis 的評價和反饋

4.6
2,697 個評分
704 條評論

## 課程概述

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....

## 熱門審閱

GS
2017年8月31日

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
2020年10月16日

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 個評論（共 690 個）

2020年2月11日

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

2018年12月13日

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

2020年1月21日

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

2019年4月8日

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

2020年11月24日

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

2019年6月9日

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

2018年6月12日

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

2018年3月12日

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

2019年6月19日

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

2019年11月3日

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

2018年10月30日

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

2018年5月12日

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

2020年8月23日

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

2017年7月5日

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

2018年9月28日

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

2019年3月11日

refreshed university materials and also gained deep understanding of probability theorems

2017年5月29日

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

2017年5月15日

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

2020年1月6日

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

2017年7月7日

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

2020年8月25日

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

2017年11月26日

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

2017年2月12日

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

2019年4月2日

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