Excelente curso. Da una introducción a los métodos de MCMC de una forma bastante sencilla y fe acompaña en problemas de regresión utilizando JAGS. Recomiendo este curso a todo aquel que tenga nociones de Estadística Bayesiana, pero que tenga pendiente los métodos avanzados para muestrear la posteriori de los parámetros.

Very good part II course in continuation with course I. The trainer provided good and detailed explanations throughout the course. Also lot of scenarios covered with help of practical examples. Very much recommended course in Bayesian Theory

Wonderful to have a course like this. Thanks to my instructor for being so thorough in teaching the materials and the Capstone project was really helpful to get through it totally. A special thanks to my peers also who reviewed my project.

These 2 courses very good and informative for the one who is new to Bayesian statistics. I liked this course hands on portion in R. it really gave a handle on theory applied in practice. Thanks for making these courses available.

It's good. In this course, professors will guide you on how to build a Bayesian model hand by hand with R. Furthermore, all prior knowledge got from another Bayesian Statistics course can get improved and solid too

This is the most detailed course in practical Bayesian methods that I have seen. I have finally understood concepts I never grasped before. The homework assignments are definitely involved but doable AND enjoyable.

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.

This is a great course. Although the first course of this series is lack of organization. But this one is fantastic. The lecturer is great. Although you have to pay money to do the quiz, it is worthwhile.

Just finished this course. This course is very good to learn and provides good insight into MCMC methods and JAGS. A little work is needed from the learner's side for this course to be very successful.

This course is excellent! The material is very very interesting, the videos are of high quality and the quizzes and project really helps you getting it together. I really enjoyed it!!!

I learned a lot about MCMC. This course is taught using R, but I personally was also working on it in python at the same time. I would love to try a higher class. Thank you!

Excellent teacher and very well taught. Right amount of theory and programming combination. Made the subject easy to learn. Enjoyed it very much. Thank you very much.

It was an excellent course. I feel like I really learned both the theory and the practice using R. I advise everyone who is interested. It's worth it too much.

I really liked the course. It was well organized. The fact that the theory was accompanied by hands-on exercises in R truly reinforced the concept. Well-done!

A thorough and comprehensive overview of applied Bayesian modelling which will give you the confidence to start applying Bayesian tools in your own work.

I really enjoy taking this course. I have taken Bayesian course before so this is more like a systematic review for me and I still learned a lot!

Great course. The instructor provided detailed code examples and clear explanations for model intuitions. The final capstone project is a plus.

One of the best Bayesian statistics courses. Highly recommend to anyone who wants to learn practical techniques on Bayesian method and models.

The best course I had in statistics. unlike many other courses the instructor does not ignore the underlying mathematics of the codes.

One of the best practical math courses present in coursera. Loved the course and will surely look upto the next course eagerly.

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

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

Excellent course for introducing yourself to Monte Carlo Methods applied to Bayesian statistics. Highly recommended!

Outstanding, Excellent, Must do for statistician. I'm from Civil Engg Background easily capable to learn the course

Fantastic course that I was able to immediately incorporate into my work. Great mix of theory and hands on coding!