Comentários e feedback de alunos de Bayesian Statistics: Techniques and Models da instituição Universidade da Califórnia, Santa Cruz

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.

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

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!

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.

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.

This course helped me to get some experience at building Bayesian models and how they are applied.

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!

Very cool, probably the best course I've done in Coursera. Keep rocking! :)

terrific, so I've learn quite a lot basic knowledge about MCMC. So I can build kinds of models with better understanding.

Very helpful!

Excellent course, with deep explanation of difficult topics in Bayesian statistics and Marcov chain applications. Good quizzes and enough time to complete them. Recommend to all interested in probability theory.

Excellent course. R usage straight from the beginning, a much useful addition to the previous course. It's very complete and when something mentioned and not explained further additional sources are recommended. Lot's of practical work and the final project I found amazing, a very practical approach that should prepare you to write reports and seriously analyse data. I would just recommend to put in the course prerequisites some basic R and some experience with statistics and probability. Although the course can be taken in isolation, the previous one is almost a prerequisite (if bayes thinking is new to you)

This is a great course for an introduction to Bayesian Statistics class. Prior knowledge of the use of R can be very helpful. Thanks for such a wonderful course!!!

A great course, very detailed and a very good instructor!