# 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
2,786 個評分
727 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

## 276 - Bayesian Statistics: From Concept to Data Analysis 的 300 個評論（共 719 個）

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.

2017年5月13日

great course. gave me a much more intuitive feel and confidence for bayesian analysis.

2018年3月21日

A great course, very clear, well presented. Most of knowledge for the time invested

2016年8月31日

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

2020年2月26日

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

2018年4月3日

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

2017年8月5日

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

2016年9月22日

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

2019年4月30日

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

2018年11月7日

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

2021年3月6日

Great introduction to Bayesian statistics. Thank you for providing this course.

2021年2月12日

I highly recommend and appreciate this course led by an excellent instructor.

2018年2月16日

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

2017年6月28日

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

2016年9月8日

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