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.
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
автор: Xiaoyang G•
This course is a very good introductory of bayesian statistics. But it better that you have known the basic statistics inference.
автор: Humberto R C•
A clear and compact introduction. Quizzes and exercises are relevant. I got acces to grades and feedback in the audit one I took.
автор: Raj s•
Learned something new :). Lecture were excellent, but, I need time to digest and hope I will get opportunity to use it in future.
автор: Tetsuhiko O•
I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.
автор: Jose M R F•
Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.
автор: Zhirui W•
Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.
автор: Eduardo M•
Very good material! The Prof explains very easily the contents of the course. Great course! I recommend. E. Martins, Brazil
автор: Leon W•
The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.
автор: Salaheldin G•
Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.
автор: Miles D R•
This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.
автор: Francisco J S G•
A really hard course but useful for those who want to know more about statistics and how it is related to Bayes' theorem.
автор: Álvaro C Q A•
It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.
The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!
автор: Georgios P•
Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.
автор: Shakir B•
Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.
автор: Бызов А•
Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course
автор: Flavio P•
Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.
Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.
This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.
I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.
автор: Zach K•
I learned a ton about statistics and probability distributions. It was great prep for my machine learning classes.
автор: Xilu W•
I'm a graduate student in mechanical engineering. Thanks for the open course, it is really convenient and helpful!
автор: Artur A B•
Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.
автор: Harsh V D•
A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics
автор: Andrew N•
wrote in my comment.
The course is extremely well presented and the difficulty level of the excercises is perfect.