JH
Oct 31, 2017
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!!!
CB
Feb 14, 2021
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.
By Xi C
•May 9, 2020
Great course. The instructor provided detailed code examples and clear explanations for model intuitions. The final capstone project is a plus.
By Sapientia a D
•Nov 17, 2020
One of the best Bayesian statistics courses. Highly recommend to anyone who wants to learn practical techniques on Bayesian method and models.
By Ian K
•Aug 27, 2024
This course seems to cover its material clearly, and the material is explained clearly. The quiz/homeworks help to reinforce the lectures.
By Danial A
•Jan 10, 2018
The best course I had in statistics. unlike many other courses the instructor does not ignore the underlying mathematics of the codes.
By Rishi R
•Sep 1, 2020
One of the best practical math courses present in coursera. Loved the course and will surely look upto the next course eagerly.
By Sandra M D T S
•Nov 20, 2023
Good Course which gives knowledge of Bayesian models and Techniques such as MCMC, metropolis hasting and their applications
By Wangtx
•Dec 11, 2018
Great materials and well organized lecture structure. But in the meanwhile, it requires quite a lot preliminary knowledge.
By Dongxiao H
•Nov 15, 2017
terrific, so I've learn quite a lot basic knowledge about MCMC. So I can build kinds of models with better understanding.
By Leonardo F
•Apr 2, 2021
Very interesting.
I would like to have a follow on since the possible applications of the topics explained in the course.
By Manuel M S
•Aug 20, 2020
Excellent course for introducing yourself to Monte Carlo Methods applied to Bayesian statistics. Highly recommended!
By Ahad H T
•May 2, 2018
Outstanding, Excellent, Must do for statistician. I'm from Civil Engg Background easily capable to learn the course
By Russell N
•Apr 27, 2020
Fantastic course that I was able to immediately incorporate into my work. Great mix of theory and hands on coding!
By Vlad
•Mar 21, 2018
Very good course giving a good practical kickoff to a very interesting and exciting topic of Bayesian statistics.
By KANKAKA E N
•Aug 24, 2024
Beautifully structured course, with a good mix of stimulating questions that reinforce learning of the concepts.
By Bill B
•Jun 20, 2020
Very useful introduction to practical application of Bayesian inference to real world problems using R and JAGS.
By Artem B
•Aug 25, 2019
It is very concise, but informative course. It combines both theory and practice in R, which are easy to follow.
By Ian C
•Jun 17, 2020
I really enjoyed the course! Thank you for the very interesting and thought-provoking lectures and assignments.
By Sharang T
•Aug 16, 2020
It was a very informative course and it was very useful in giving an introduction to a whole new field for me
By Juan C
•Jan 29, 2019
Muy recomendable para los investigadores y profesionales que quieren desarrollar productos y procesos nuevos.
By Ariel A
•Aug 28, 2017
This course is a great start for everyone who wants to dive into Bayesian Statistics. Very clear and helpful.
By Hyun J K
•Oct 13, 2019
Perfect combination of theory part + application part
Recommend to people who took the basic Bayesian class
By Stephen
•Mar 17, 2019
Fairly good introduction to basic Bayesian statistical models and JAGS, the package to fit those models.
By Tomas F
•Sep 19, 2021
I really, really enjoyed this course. So much so, that I'm definitively going to take the next one.
By Chow K M
•Apr 20, 2021
The hands-on application with guidance helps one navigate between understanding and implementation.
By Cardy M I
•Jan 29, 2019
This course helped me to get some experience at building Bayesian models and how they are applied.