GS
Aug 31, 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.
JB
Oct 16, 2020
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
By Tetsuhiko O
•Jan 20, 2018
I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.
By Felipe C
•Dec 13, 2020
Quite interesting course ant not too long. I learnt many interesting and useful concepts in statistics. Highly recommendable.
By Jose M R F
•Jul 14, 2019
Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.
By Zhirui W
•Sep 25, 2017
Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.
By Steve T
•Jul 3, 2023
Delivered at an appropriate pace with an optimal mix of explanation/discussion, derivations and practical data applications.
By Eduardo M
•Jan 4, 2019
Very good material! The Prof explains very easily the contents of the course. Great course! I recommend. E. Martins, Brazil
By 王颖亮
•Aug 5, 2018
The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.
By Salaheldin G
•Dec 26, 2017
Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.
By Miles D R
•Aug 15, 2019
This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.
By 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.
By Álvaro Q A
•Mar 27, 2018
It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.
By Jack
•May 17, 2018
The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!
By George P
•Feb 24, 2017
Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.
By Shakir B
•Aug 3, 2020
Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.
By Alexandr B
•May 27, 2018
Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course
By Flavio P
•Aug 10, 2017
Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.
By kacl780tr
•Jul 6, 2017
Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.
By 张宁
•Sep 24, 2016
This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.
By 郭冰
•Mar 10, 2017
I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.
By M J H
•Aug 22, 2021
Great starting point to study bayesian statistics, though it requires some previous knowledge on basic statistics.
By Zach K
•Aug 3, 2020
I learned a ton about statistics and probability distributions. It was great prep for my machine learning classes.
By Xilu W
•Nov 19, 2016
I'm a graduate student in mechanical engineering. Thanks for the open course, it is really convenient and helpful!
By Artur B
•Aug 21, 2019
Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.
By Harsh V D
•Aug 6, 2017
A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics
By Andrew N
•Oct 22, 2016
wrote in my comment.
The course is extremely well presented and the difficulty level of the excercises is perfect.