返回到 Bayesian Statistics: From Concept to Data Analysis

4.6

1,787 个评分

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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 Natasha

•Dec 27, 2016

I really enjoyed this course. The lectures were short and clearly explained, and particularly highlighted why Bayesian statistics is different and what is useful about it. I would have like a bit more walk-through on some of the derivations in weeks 3 and 4. More R exercises and further resource recommendations would have been useful.

创建者 joari c

•Feb 10, 2017

Very instructive introduction to Bayes reasoning. By attending all videos and completing quizzes, you get a reasonable understanding of the concepts and reasoning. Thanks to prof Herbert Lee and all the supporting team

创建者 Salaheldin G

•Dec 26, 2017

Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.

创建者 Pawel R

•Oct 03, 2016

The course creates great foundations for digging deeper into more complex concepts and trying to run some Bayesian statistics on simple real life problems

创建者 Derek Y

•Apr 09, 2017

The whole course is not bad. More examples in the classes would be helpful.

创建者 Gabriel

•Jan 09, 2017

Very nice introduction to bayesian concepts and rationale. With this course I could understand why should I spend more time learning this technique (which I will definetly do on sequence).

创建者 Jorge V C

•Jun 02, 2017

A very complete and easy to follow course. It's very helpful for everyone who needs to work with data and has to take decisions about that. It also has examples in R and Excel. I strongly recommend it.

创建者 Andrew N

•Oct 22, 2016

wrote in my comment.

The course is extremely well presented and the difficulty level of the excercises is perfect.

创建者 WU T T

•Jan 13, 2018

I think the number of quiz questions is appropriate. They helped me to have better understanding of the content of this course. Teacher's lectures are brief and clear. I will take the next part of this lesson.

创建者 Victor A

•Mar 01, 2017

It's a great course, there is a lot of information and it might seem at times overwhelming, but it's organized nicely and prof. Lee has a very comfortable time explaining all the concepts. A few more examples would have made this course easier, but that does not mean it would have been better. It's as good as it gets

创建者 Flavio L

•Oct 30, 2016

Amazing course ! Excellent. Prof. Herbert has a great didactics, the material is clear and very well planned, including the assessments. Thank you very much. Flavio Lichtenstein (Brazil).

创建者 Mario C

•Oct 28, 2016

Simple but well explained.

创建者 sai s

•Jun 13, 2017

Like the course. Learnt a lot. Was able to apply in real world.

创建者 Bill S

•Oct 16, 2017

Very good -- from fundamentals to basic analyses.

创建者 Bui T H

•Dec 02, 2017

Thank you so much, Herbert Lee. I really like the way you explain everything clearly and how you organizes the contents. I recommend this course for my friends.

创建者 Keun-Hwi L

•Mar 18, 2017

This class is very much an intro, so if you're looking for advanced topics you it might not be challenging. But this is a really good intro. The lectures are good and the supplemented material is great. I wish there was more R, but I'm very happy with the class.

创建者 Polano M

•Mar 11, 2018

Great introduction to Bayesian Statistics.

Prof. Lee uses the right approach with a theoretical introduction that helps to graps the concepts with a right balance of math and intuition. This was my first exposure to the bayesian approach to statistics and after this course I want to learn more, both on the pratical and the theoretical side.

创建者 Mark C

•May 12, 2018

The presentation was excellent. The quizzes were reasonable. This was a good use of my time.

创建者 Howard H

•Apr 10, 2018

A very solid introduction to Bayesian Statistics. Lectures were sufficiently detailed and of excellent quality, and the problem sets supported and reinforced the material very well. I look forward to taking part 2 of this sequence.

创建者 Yukio F

•Oct 01, 2017

Excellent course.

创建者 Pawel P

•Jul 22, 2017

Concepts explained very well, useful and informative examples.

创建者 Michal K

•Oct 24, 2017

Excellent course. For such broad discipline I'm sure it was difficult to choose most important material to fit 4-week course, yet professor did it perfectly. I'd love to see this course in Python, but I guess I can't have everything ;) I'd also love see some examples of using probabilistic programming packages, like Stan or PyMC3 in more real-life problems - I would give 6/5 stars for it!

创建者 Bilal A

•Feb 07, 2017

Really great, from basic to advance.

创建者 JOSE F

•Jan 18, 2018

Great explanations, and great reference material.

创建者 Igor K

•May 29, 2017

Very gentle and at the same time mostly rigorous introduction into the Bayes probability.