Perfect course. Not too heavy on the details, result oriented which teaches the skills you want. A lot of different examples both in the lectures and in the quizzes that gives you the experience you need in R language and using JAGS. It gives you a perfect image of what you need to do in Bayesian analysis. It also gives recommendations in the end for further studies in Bayesian statistics. It was a truly perfect course worth every penny. Also if you follow the specialization, it is the perfect 2nd course designed to build on top of the first. Thanks again for this great experience!

This course is fantastic. The presenter is talking slowly and concise, and doesn't shy away from letting the simple things sink in before moving on. At the end it'll get complicated, sure, but this course takes the time every piece needs, where one thing builds on another. I'm glad I made it through the prerequisite course, which was rough. I've had some personal delays throughout this course, but it was easy to re-visit past lectures to refresh and move on. Very well didactically prepared and presented.

This course fills an essential gap in learning Bayesian statistics, and provides concrete assistance in moving from theory to actual model writing in R and jags. Worth every penny, and then some more. However, the course requires a fairly high level of comfort with both general Bayesian statistics and the R language. I think it would benefit from a brief introductory lecture on jags syntax, as well as some additional worked problem examples.

This course was fantastic. It combined detailed learning materials with frequent and comprehensive assessments. While managing to cover everything from the basics of MCMC through to the use of a number of different bayesian models. My only issue with the course was that the learning materials encouraged copy-pasting code and often didn't properly explain the choice of priors and other details about the chosen models.

Really a great course! It IS challenging, but the professor does a wonderful job. He also put a lot of thought into helping students learn. For example, when you get an answer wrong on a quiz, each wrong answer has an explanation WHY it was wrong to help you better understand your mistake. And each correct answer also has an explanation :).

Superb.

This course with the MCMC Markov Chain Monte Carlo simulation filled in a critical piece of the statistic puzzle for me. Absolutely brilliant.

A key feature of excellence in the curse is the R code samples that directly parallel the course content. I hope it becomes the new paradigm for all code based instruction on Coursera.

I would say the teachers are amazing. The subject was hard to learn as I'm not in the math and stat field, but I think the explanations were so well constructed that it allowed me to go ahead and even finish a statistical report all by myself. I hope this pair of bayesian teachers don't give up on us and keep doing this amazing job.

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.

The instructor is really good. Very engaging and easy to follow. The material itself is heavy on the math but the course lessons are very well structured. The instructor also provides lots of background and recommended reading.

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!!!

The course was really interesting and the codes were easy to follow. Although I did take the previous course for this series, I still found it hard to grasp the concepts immediately.

Great course - not suitable for someone new to the subject, however. You'd need to do the first course and likely read a beginners Bayesian statistics book to follow along, I think.

I loved the structure very much. At the end we have to do a project and review peer project. This idea is very good. The teaching is also very through and structured.

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!