AO
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Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!
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Great course in a difficult subject. Well structured. Requires some previous knowledge otherwise difficult to follow. Big thanks to professor Lee for bringing to us this content.
By Shiyang Z
•Jun 12, 2020
This course is well-designed. A great introduction to Bayesian Statistics. I love the quizzes and short questions in the videos which help to understand the class materials. And the blackboard also looks cool haha
By Tu L
•Jan 10, 2021
This is a very helpful and concise course about Bayesian approach to statistical inference. It is suitable for anyone with little background knowledge to quickly grasp the ideas of Bayesian methods in statistics.
By Ziwen Z
•Dec 1, 2016
Although I only spent less than one week to finish the course, I think it is quite valuable if you are interested in statistical inference and want to learn more specific in Beyesian Statistics. High Recommended.
By Vikrant D
•Mar 20, 2023
Excellent course for people interested in Probability and Statistics. The course materials are concise and informative. The quizzes are intensive but not so hard. Great introductory course to the Bayesian world!
By Fabian M
•Feb 20, 2018
The course manages very well to balance out comprehensibility and content. Professor Herbert Lee has obviously prepared the material very thoroughly and imparts the content of the course in an enjoyable fashion.
By Xinyuan X
•Jan 7, 2023
Great course on Bayesian Statistics and Inference, Professor Lee explains things really well. The second half was quite challenging for me, but I learned a lot from doing the exercise and the discussion prompt.
By 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.
By chenshuai
•Aug 26, 2020
very helpful courses. The assignment is decent and the professor explanation is very clear. I would like it to provide a bit hint for the honor part too, since there is no answers for the honor part for now.
By Padmeswar D
•Jul 9, 2020
I liked the course because it is meticulously designed to help build on concepts in Bayesian Statistical Analysis. The Quiz's really helped me grasp the concepts as they fully supplement the lecture classes.
By Nadika D
•Feb 8, 2023
This is the most challenging self paced statistics course I have ever taken to this date and the most enjoyable one. You have to have solid background in statistics to advance in this course so be prepared.
By Khoa M
•Dec 17, 2020
Good introduction to Bayesian Statistics. Although I still need more time to realize how to apply the concepts into real-life situations, it definitely helps if I encounter this subject again in the future.
By Tobias .
•May 1, 2020
Very interesting, mathematically driven course that dives right into the mathematical concepts that are necessary to understand the concepts of Bayesian Statistics without going too deep into the calculus.
By Paul J
•Apr 6, 2020
A very challenging course, but very well thought out and designed. Note - the videos were very well done, but in some instances, I found using zstatistics on youtube.com to be a good supplemental source.
By Naehyun P
•Jan 15, 2020
Very helpful for understanding the basic concepts of not only Bayesian statistics but also the basic knowledge of statistics, which will be very helpful for understanding other subjects using statistics.
By Medha A
•May 6, 2020
I thoroughly enjoyed the course. Honest feedback would be that the course should have included a coding assignment with a particular template. But all apart, it was a great learning experience. Thanks!!
By 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.
By David K
•Mar 19, 2021
I realy helped to understand the concept of Bayesian Statistics and how to apply it.
I liked the approach from flipping a coin and learn and verify the steps to continous distributions and R simulations
By Raja F Z
•May 24, 2020
instructor style and way of delivering lectures is very interactive and made this course very easy to understand, wit even a little knowledge of probability. Tank you very much instructor and coursera.
By Shen A
•Mar 25, 2020
it is a wonderful course. In this course, I have learned some basic theories and concepts for bayesian statistics and also do some applications with R programming. Highly Recommended as a intro courses
By Alex T
•Feb 19, 2020
Excellent first course in Bayesian statistics - definitely not too basic, but just at the right level that you can understand everything in the course without having studied Bayesian statistics before.
By Jorge V C
•Jun 1, 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.
By Alexandre H d S
•Jul 13, 2020
It's an amazing course, I strongly recommend. It was like a complementary course for the Data Analysis course of my university, giving a wide explanation over bayesian analysis. I'm glad to finish it.
By John H
•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.
By Jose P C
•Nov 7, 2017
I've learned how to process data and analyze data from studies, that's a wonderful ability I think everybody should try to learn in order to not get manipulated by the media. Thanks for this course!
By kabonline09
•Nov 14, 2020
A very good introduction to Bayesian Statistics.Couple of optional R modules of data analysis could have been introduced . However, prerequisites are essential in order to appreciate the course.