Excellent course! This covered a large amount of material, but it was well organized, with a good number of problems to solve. Matthew Heiner does an excellent job with the lectures and explains things well. Coming from the frequentist worldview, I found this course to be a definite challenge, but well worth the time.

Just finishing this class now......it is very good. Much better than the first one in this series. The videos and examples are better explained, and you leave with a solid understanding of Bayesian Analysis. When I signed up for this class I really wanted to know how I could use tools like MCMC to perform real analysis, and I feel like I got what I signed up for. Well done!

Brilliant course! Very well organized and with useful study cases.Suggestion: It would be nice to have the same examples in Python using, e.g. Stan or PyMC.

Really interesting course. The coding session are useful and can be use cases for lots of various situations.

One of the best designed courses. The material and videos are very precise and informative. The quiz questions and assignment are very enjoyable. Thank you !

The second course of the great series. The knowledge and skills gained in this course allow to actually do statistical analysis on scientific data. The course is very clear, systematic and well presented. Thank you!

really like the content.

the R material in this actually changes my view towards R, so thanks.

The course provided a lot of very helpful tools. However, I believe it was a bit too fast paced. Furthermore, there were certain topics which were not explained clearly -- for example, the discussion of the Metropolis-Hastings Algorithm and Gibbs Sampling was extremely confusing.

Really good intermediate introduction to bayesian analysis. I really liked how hands-on the course is. The last project was very useful as one will likely to face challenges and try to solve them especially if you use a rich dataset.

Informative but the pace is slow

Good course, but the peer review process for the Capstone project in Week 5 is broken. Based on submissions to the course Forum in which multiple students have submitted their work on time but not received a grade due to lack of peer reviewers, this has been going on .

This course is taught in a way that not useful for real world applications.

Not enough depth.

Great materials and well organized lecture structure. But in the meanwhile, it requires quite a lot preliminary knowledge.

Muy recomendable para los investigadores y profesionales que quieren desarrollar productos y procesos nuevos.

one of best stats courses I had

Amazing, super cool!

Super clear and easy to follow. Thanks so much.

Fairly good introduction to basic Bayesian statistical models and JAGS, the package to fit those models.

I found this course very interesting and informative.

If you want to become good in modelling it is recommended to enrol.

Great class.

Very thorough instruction. Excellent feedback and support on forums.

great course

Very challenging but interesting!