# 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
2,603 個評分
681 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

## 501 - Bayesian Statistics: From Concept to Data Analysis 的 525 個評論（共 669 個）

2019年6月17日

Very high quality course. Could use some modifications (e.g. few more applied examples for regression using specific priors, MCMC etc.) and implementing some simple metaphors to introduce some topics before jumping into the maths.

2020年8月16日

The Course was concise and helpful to build a foundation for Bayesian statistics. However, it is not recommended for those who has weak or no background in statistics, as the explanation are not thoroughly explained by details.

2020年11月20日

The course is quite difficult to comprehend with a loose background on stats, but the lessons prove to be interesting especially when applied to sample experiments. Eager to try the next course on Bayesian Statistics.

2019年5月4日

Very good course for beginning bayesian inference. The syllabus is easy to follow, but I also think one could benefit even more by complementing the lectures with other sources (books or other youtube explanation)

2020年8月19日

The course provides a good explanation of a complex topic. I had trouble following some of the statistical mathematics but was able to understand the concepts and the different range of possible applications.

2017年4月9日

Short course that's actually mostly theoretical with a bit of R/Excel analysis. This fitted my needs perfectly. My only suggestion is that they should have released more comprehensive notes for the lectures.

2019年12月11日

The course content is great and provides a good introduction to bayesian statistics. The assignments could be a little more challenging as a lot of the questions require just plugging numbers into formulae.

2018年1月15日

I could grab the concept of Bayesian statistics but did not find the course fully self-contained. I had to look elsewhere to fully understand details. More complete supplementary material could help a lot.

2018年10月10日

Good use of R but maybe use the actual coefficient from the equations themselves rather than picking numbers pre-selected which may confuse.

Unable to look at discussion forum without posting myself.

2020年2月19日

the notes for the lectures are missing.

In my opinion the notes, which includes the video materials could be very useful.

the course was good. I learnt some new concepts in bayesian thinking.

2020年6月23日

Good course. As a recommendation to improve it, it would have been very helpful if the lectures (PDF) given with each lesson included all the formulas and explanations given in the videos.

2019年9月25日

Very clear and informative. Would like a more extensive and combined reference material (PDF, so less need to lookup e.g. definitions of effective sample size for various distributions).

2019年12月9日

It was a good course for me to get familiar with the new perspective on statistics. Thank you!

Maybe, some extended practice exercise at the end of the course would make it even better)

2016年11月26日

A good course but neither notes nor lectures were not in much details. But still it was worth my time. I strongly recommend it if you want a subtle introduction to Bayesian Statistics.

2017年7月7日

Great course (and teacher). Assumes some basic highschool level for math. With experience in frequentist statistics, but not all the distributions this course was "easy" to follow.

2017年9月19日

Very straight-to-the-point course. Very dense, though, for a newbe in bayesian terms and concepts. But I definitely suggest it to undertand priors and posterior concepts. Thanks!

2019年11月11日

A great intro to Bayesian analysis and probability distributions. Personally I skipped the Excel content and converted the R code to python, which was itself valuable learning.

2020年3月3日

Es un buen curso introductorio, alguna explicaciones y deducciones matemáticas podrían explicarse mejor. Además estaría bueno que se den más ejemplos practicos en los videos.

2018年9月4日

I think the course would benefit by recommending a textbook that would supplement the lecture material. It's nice to have a reference to refer to after viewing the lectures.

2018年2月5日

This is a good course, I've learn a lot about Bayesian statistics with very little prior knowledge about this subject and even about statistics and probability in general.

2017年9月9日

This is a nice, bite-sized introduction to Bayesian inference. Helpful lecture notes are provided, alongside introductions to practical computations using R and Excel.

2020年4月13日

Great course with clear structure and good explanations. An overview "cheat sheet" would be nice, also some hints to literature which covers the topics in more depth.

2019年2月24日

A little heavy on the theory for my style of learning - would have appreciated more clear, applied examples in the lectures, but overall a good and informative course

2020年6月11日

A lot of clearly presented content and helpful quizzes. Some lectures felt a little inconclusive but maybe I just didn't follow the Maths. Would definitely recommend

2020年1月16日

Assignments are the best part of the code. Videos don't provide enough conceptual knowledge. Overall considering the intricacies of the topic its a very good course.