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
교육 기관: Tetsuhiko O•
I studied basic theory from these lectures. I will try again and again until I understand Baysian Statistics concept completely.
교육 기관: Felipe C•
Quite interesting course ant not too long. I learnt many interesting and useful concepts in statistics. Highly recommendable.
교육 기관: 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.
교육 기관: Zhirui W•
Become very clear about all the formula and derivation of Bayesian Statistics after taking this course. Strongly recommended.
교육 기관: Eduardo M•
Very good material! The Prof explains very easily the contents of the course. Great course! I recommend. E. Martins, Brazil
교육 기관: 王颖亮•
The video content is not too much. However, students can learn and practise a lot from supplementary materials and quizzes.
교육 기관: Salaheldin G•
Very useful crash course in Bayesian Statistics. It requires some basic knowledge in statistics and probability as stated.
교육 기관: Miles D R•
This course was dense, concise, and yet easy to follow for individuals that are fairly comfortable with basic statistics.
교육 기관: 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.
교육 기관: Álvaro Q A•
It's a good introductory course to Bayesian statistics, a second part with Gibbs Sampling, Markov and MCMC would be nice.
교육 기관: Jack•
The teacher is excellent and charming and the course is also easy to follow. However, with more exercise will be better!
교육 기관: Georgios P•
Very good introduction to baysian concepts and very helpful in understanding the difference with frequentist statistics.
교육 기관: Shakir B•
Initially I was a bit put off. But what a compilation of well thought set of lectures and quizzes! Thoroughly enjoyed.
교육 기관: Бызов А•
Marvellous course! Thank you very much! I would really appreciate, if you'll create an advanced version of this course
교육 기관: Flavio P•
Very interesting. It can help taking notes during the course... to avoid going again through it and take them ex-post.
교육 기관: kacl780tr•
Excellent course, although it would have been nice to get more content on uninformative priors and Fisher information.
교육 기관: 张宁•
This course are excellent and Thanks for Prof for offering the course. I've learned a lot from the course. Thank you.
교육 기관: 郭冰•
I have learned a lot from this course. As there is not course like this one in my univeristy, I really appreiate it.
교육 기관: M J H•
Great starting point to study bayesian statistics, though it requires some previous knowledge on basic statistics.
교육 기관: Zach K•
I learned a ton about statistics and probability distributions. It was great prep for my machine learning classes.
교육 기관: Xilu W•
I'm a graduate student in mechanical engineering. Thanks for the open course, it is really convenient and helpful!
교육 기관: Artur A B•
Very useful course, described a basic understanding behind Bayesian theory and sequential updating of posteriors.
교육 기관: Harsh V D•
A very well designed and productive course for anyone looking to brush up his/her concepts on Bayesian Statistics
교육 기관: Andrew N•
wrote in my comment.
The course is extremely well presented and the difficulty level of the excercises is perfect.
교육 기관: Stephen H•
A very nice introduction to Bayesian Statistics in a couple of hours. The course is quite intuitive and concise.