返回到 Bayesian Statistics: From Concept to Data Analysis

4.6

1,817 个评分

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469 个审阅

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....

Sep 01, 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.

Jun 27, 2018

Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.

筛选依据：

创建者 Eugene B

•May 22, 2019

Excellent instructor and very helpful readings and assignments.

创建者 Borisov V

•May 10, 2019

I like this course, thank you!

创建者 Derek H

•Jun 12, 2019

Good to learn or re-learn the basics of statistic and probability, and as a foundation for learning maximum likelihood methods (which are much more useful later on). The material is digestible, to the point, and the quizzes are helpful in checking your understanding and information retention.

创建者 Ian M

•Aug 16, 2019

I think this was a very helpful course, for me personally I learn better with "real" examples, so i think if there were more of those earlier on, that would have been more helpful. I also use Python, and would prefer to use Python, so it would be nice if there were instructions on that in addition to R/Excel. Spent a lot of time translating between R and Python.

创建者 Artur A B

•Aug 21, 2019

Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.

创建者 Giuseppe F

•Aug 22, 2019

great course for those who have an understanding of the frequentist approach and would like to dip their toes in the bayesian approach. pace is right and the content is interesting throughout. Given the basic math requirements, many derivations are omitted (especially towards the end of the course, which might feel a bit rushed) but I feel the course gives the tools to explore should one want to fill the gaps in.

创建者 sara

•Sep 22, 2019

I really enjoyed working through this course. It is a great introduction to Bayesian statistics. People with a little probability and statistics background can easily follow this course. I personally prefer to have more assignments for this course to better learn the concepts. Professor Lee is a great instructor, and he speaks slowly. The length of each video is short, and I like it a lot because you can finish it quickly.

创建者 Xiaoyuan C

•Sep 20, 2019

Very excellent introductory course for Bayesian statistics!!!

创建者 Mauricio B

•Sep 16, 2019

A very well presented course with an adequate depth on its topics.

创建者 peiyuan s

•Sep 26, 2019

Really good! Thank you

创建者 Manuel M S

•Sep 30, 2019

An excellent course on the basics of Bayesian approach to statistics. It has excellent explanations, from the concept to applications and allows gaining understanding both on the basic underlying ideas, as well as a deeper insight on Bayesian methodologies. I definitely recommend it!

创建者 Lazaros S

•Oct 04, 2019

Excellent and very helpful course. Highly recommended

创建者 Kuntal B

•Nov 13, 2019

Thanks, Coursera. This is a good course. It would be helpful if we get any proper class notes on Jeffrey's prior and Multivariate regression.

创建者 MaoJie T

•Nov 20, 2019

It's a fantastic course, which guides me to know what is Bayesian statistics. Before joining this course, I try my best to learn Bayesian Statistics but it's failed. However, I really grasped some key points and knowledge of Bayesian Statistics and I will join the following course about Bayesian Statistics to get more. Thanks for the professor. I am appreciated for it.

创建者 César P O

•Nov 19, 2019

It needs more examples

创建者 Steven G

•Nov 20, 2019

Very good course.

创建者 唐茂杰

•Dec 02, 2019

A good course, even it's not very deep, it still can teach people something fresh and comprehensive knowledge.

创建者 Dave N

•Oct 14, 2019

Good fundamentals.

创建者 Zhen Y

•Nov 02, 2019

Very good course! Thank you

创建者 Duke W

•Nov 03, 2019

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

创建者 Mohan R

•Dec 02, 2019

A mathematics course I really enjoyed because the instructor was actually teaching the material as best as one could without meeting the students. Great.

创建者 Johan D R P

•Dec 02, 2019

This course has been highly useful to understand how hypothesis testing works, starting from experimental design using prior distributions and assumptions to posterior statistics based on data. In my college courses it was always assumed that the parameters for the distribution were fixed, so, having a way to correct them through the information hidden in the data allows to overcome those assumptions and have a clearer perspective of the data behavior.

创建者 Xindie H

•Jan 27, 2019

Nice and easy introduction course.

创建者 Marc D

•Jan 26, 2019

I liked it as introduction to Baysian statistics. With the material provided it was quite easily possible to answer the questions. I would have preferred that the videos of the course contained all the material and that it would not have been required to have read through material.

创建者 Elguellab A

•Jan 29, 2019

Likely course and practical: it help us to understand some basic notion for bayesian inference. But Some concepts are less clear and I think need more development and explication (like effective sample size, Jeffreys prior). Great job over all.