# 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
2,602 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

## 626 - Bayesian Statistics: From Concept to Data Analysis 的 650 個評論（共 668 個）

2016年10月3日

The lectures from week 1 to week 3 are nice and useful to me, but I think there should be more details about the content in week 4. For example, I think the lecture about the Jeffreys prior skipped many things and I did not understand this concept very well.

2019年11月29日

Most of the support material should be prior reading. Lecturing could be more useful i.e. explaining ore about why we use certain distribution and how to apply them. Most of it as just reciting formulas and felt like a waste of time...

2017年7月1日

It was quite difficult to learn from just the material provided here, and I had to look for info on the web. Also, adding modern real life examples and going into detail would make this course better

2017年7月19日

Good course as an introduction to bayesian statistics if you want to pursue more advanced courses in the field or to get some practise working with distributions under the bayesian framework.

2020年5月8日

In general, the course is useful, but in half of videos the explanation focused mostly on formulas, and less on theory. I personally had difficulty in learning theory of Bayesian statistics.

2020年4月25日

The teachers are clearly experts in what they do, but sometimes I think it is that same expertise that makes them jump to conclusions too easily, making it difficult for beginners to follow.

2020年7月25日

This course gives a very brief background on conjugate prior. However, the lectures on Bayesian linear regression is too superficial. I wish the lectures could have gone into more detail.

2020年4月8日

Too much time spent on the beginning and too little on later more complicated concepts such as the posterior predictive. It felt as if that was just a side note in the extra readings.

2017年9月24日

The course is good for beginners in statistics. In my opinion it would be better to invest more time explaining different topics about bayesian regression and bayesian time series.

2020年6月1日

Solid mathematical grounding, but would have benefited from more time spent on the history of Bayesian inference, when to use it, why it can be used etc..

2018年7月1日

The course could have given more information on tiny details which can confuse people during the exercises. But overall a good learning experience

2017年6月29日

We still don't understand how Bayes differs to Frequentist... A worked example comparing the two at the end would have been nice.

2019年5月1日

It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.

2019年7月24日

It would be better to add more explain about those equations and connect the math stuffs with the real world samples

2019年7月14日

It would be much better if there was a more sufficient introduction to the various distributions used in the course.

2019年7月9日

Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.

2020年5月4日

Good course!!... Additional examples of real life explained and done in R or excel will make it great

2019年9月21日

Too much theoretical than practical applications. No need to give both R and Excel videos.

2018年11月26日

Would have liked more problem solving and real-world application examples.

2020年6月15日

The workload is manageable however the homework is somewhat challenging.

2020年5月11日

Not well organized.

No sufficient materials, references, etc.

Very short.

2018年5月31日

Overall, it's Ok. but the explanation is too short and incomplete.

2017年8月24日

better to come up with more examples and more mathematical details

2019年1月1日

This course could be taught in better understanding way

2019年6月2日

For some derivations, the explanations are too sparse.