返回到 Bayesian Statistics: From Concept to Data Analysis

4.6

1,809 个评分

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468 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 Priyabrata D

•Feb 11, 2019

best course for the beginners who want to get started on bayesian inference

创建者 Fabian S

•Feb 17, 2019

A great introduction to Bayesian Statistics. For some of the Quiz questions, it would have been helpful to get an error warning in case one might had accidentally used a comma instead of a dot notation.

创建者 Ayush T

•Feb 18, 2019

It's really a good course for Bayesian Statistics. Exercises are designed in such a way that they can't be passed if you've not understood the topic completely. The workload is manageable and the course content is really well organized.

创建者 David D

•Feb 27, 2019

Really loved this course. I am relatively new to Statistics but very familiar with the rest of the mathematical tools used in this class (Integration, sets, etc). After finishing the class, I was immediately able to apply Bayesian Inference to my job. Things were explained well, and made sense after re-watching once or twice. Excellent course!

创建者 Shailesh K

•Mar 06, 2019

Nice Course, Good Instructers

创建者 Jaime E A T

•Mar 08, 2019

I recommend this course for anyone interested in learning Bayesian statistics: You can start here. It covers the core concepts as well as some computations using R and Excel.

创建者 Fernando D L

•Mar 11, 2019

It's a good course to know the principal concepts of Bayesian statistics. Also, the course has excellent examples to understand thew concepts.

创建者 Daniyar M

•Mar 11, 2019

refreshed university materials and also gained deep understanding of probability theorems

创建者 Usman Q

•Mar 15, 2019

Fun & interesting cass! Not trivial, so take good notes as you go along.

创建者 Stephen H

•Mar 18, 2019

A very nice introduction to Bayesian Statistics in a couple of hours. The course is quite intuitive and concise.

创建者 tze s

•Jul 17, 2018

very detailed and good classes on bayesian stats

创建者 Leon W

•Aug 05, 2018

The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.

创建者 William P

•Aug 03, 2018

Fantastic first course. The only concern I have is with the software choices. I have neither R nor Excel, but was able to easily use google Sheets. It might be worth mentioning to students that this is an option. There is even a stats package that claims parity with one of the listed packages for excel.

创建者 Francisco J S G

•Aug 26, 2018

A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.

创建者 Justin C

•Aug 26, 2018

Excellent Course

创建者 Nathanael G

•Sep 07, 2018

Very well taught and informative.

创建者 Shounak D

•Aug 27, 2018

Good introductory course on Bayesian Statistics.

创建者 Vasilios D

•Aug 28, 2018

This course strikes a perfect balance between not being too simple or too slow on one hand, and offering an easily accessible introduction to many central topic of Bayesian statistics on the other.

I think that good knowledge of basic probability theory and one-variable calculus is necessary for getting the maximum out of this course. This, however, is strictly due to the probabilistic underpinnings of the Bayesian theory.

创建者 Vignesh R

•Oct 08, 2018

Awesome course that helped me overcome the Bayesian statistics way of thinking hurdle. Now, I want to go on and learn MCMC, Metropolis !

创建者 Rob C

•Oct 12, 2018

Very well taught, thanks Herbie!

创建者 Xiaopu L

•Aug 19, 2018

Nice short course with very practical statistical knowledge.

创建者 Luca A

•Sep 22, 2018

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

创建者 Hao W

•Sep 28, 2018

Completed

创建者 Eliott L

•Sep 28, 2018

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

创建者 Justin W

•Oct 03, 2018

This was a fantastic introduction to Bayesian statistics. Professor Lee is an excellent lecturer, with a comfortable, almost conversational style that I found easy to follow and stay focused on. The course itself is very well organized, introducing key concepts and then immediately providing examples that helped me internalize the concepts they pertained to. Quizzes were low pressure, straightforward applications of the lectures that served the purpose of allowing me to immediately apply what I had just learned.