Excellent introductory course to bayesian statistics. I'd like to thank Professor Lee, University of Santa Cruz, Coursera and all supporting staff for the opportunity. I'd enjoy if you provided intermediate and advanced courses on bayesian statistics that covers more topics.

Great course. Very clear introductory overview of Bayesian statistics and differences/similarities with the frequentist approach. Well balanced between video lectures, support materials, quizzes and hands-on problems. Looking forward to the next step - hierarchical models.

It's quite a challenging and informative course. I don't regret taking it it has opened up my mind to Bayesian statistics especially that this is the pass I want to take in my life. Thank you for the support and opportunity given to me. i will forever remain grateful.

I took this course due to my interest in machine learning and graphical models. I like the approach and execution. I recommend it for anyony interrested in statistical inference. Some topics require looking up external sources, like wikipedia, but it is not an issue.

The course was excellent. The concepts were explained very clearly and were supported with well suited quizzes and applications. The course definitely created an interest in learning further in Bayesian Statistics. The instructor was very clear in presenting theory.

This class is very much an intro, so if you're looking for advanced topics you it might not be challenging. But this is a really good intro. The lectures are good and the supplemented material is great. I wish there was more R, but I'm very happy with the class.

Interesting, challenging, informative, entertaining, Herbie Lee is an excellent presenter of a very well prepared introduction to what seems to be a more rational and coherent approach to extracting, understanding and evaluating quantative information from data

It's a great course to understand the fundamentals of the Bayesian Statistics. The easy quiz which meant not to deter the students could be improved a bit. For serious learning, reviewing the questions in honor sections and the supplemental materials is a must.

This course really put into perspective the different approaches of statistics, and how each of them are so valuable. With the aid of the readings given before the lectures, Sir Herbert Lee made the "scary" Math of statistics a little less scary ^-^

This is a short course and it was a great introduction to Bayesian inference. Lessons went through both theory and application. I found the videos easy to follow and that they prepared me for the quizzes. I also really valued learning how to use R.

I really like the assignments, they are very well designed and helped a lot in consolidating my understanding of the topic. In my opinion, these assignments are the reason why coursera courses are better than the video lectures available elsewhere.

Excellent course with lots of facinating exercises of real world applications! Learning from doing!! Can't love the course more!!

However, the difficult part was left with no explanation. But this is helpful for the starter of baysian statistics.

Excellent introduction to Bayesian inference. Dr. Lee struck an exceptional balance between presenting concepts and ideas with self-learning through the homework quizzes. I look forward to learning more analysis techniques in subsequent courses!

it's very helpful for me to understand the Bayesian statistics. things are clearly stated and the quiz are good. Many thanks! It's better to have a further course on the Monte Carlo. It's better if the regression can be talked more in details.

This class is pretty helpful for the beginners and the instructor has a clear organization of the lecture. The Quizzes are also a good way to know what you have mastered. I have a better and deeper understanding of the Bayesian Statistics now.

Highly informative. Prof. Herbert Lee is a great professor providing very thorough notes and material for the Bayesian paradigm of Statistics. I would highly recommend this to any who are interested. It is also a great introduction to using R.

It was an amazing course. Prof. Lee is an excellent teacher, the lectures were very interesting and illuminating, and the problems challenging and based on the material discussed. Highly recommended to get a basic idea of Bayesian statistics.

A good introduction to Bayesian Statistics. Not too deep, but you need to have some familiarity with probability notation. Also it seems it recently had some manteinance because broken links in lectures are now redirected to correct links.

I found this course to be incredibly useful to learn Bayesian statistics and a useful guide for applying the information in r and excel. I would definitely recommend it to anyone interested in furthering their understanding on this topic.

Excellent course. I learned late to use the note clipboard to take notes. At times the video lectures are hard to follow because the concepts are not easy. I had to watch the video lectures several times to fully grasp the concepts.

Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.

It's really a good course for Bayesian Statistics. Exercises are designed in such a way that they can't be passed if you've not understood the topic completely. The workload is manageable and the course content is really well organized.

This course provide a very good understanding of the bayesian approach of the statistic. It is very accessible thanks to the learning material (pdf) provided before each lessons and which recall all the basis needed.

Thank you Herbie

Definitly the best statistic course for beginners with some mathematical knowledge. Love the way the videos are recorded (Transparent glass between the camera and teacher) it should be a standard for online course! thank you so much!

Great course. It gives you a nice view from Bayesian statistics and the understanding of priors, conjugates and posterior. Also great that it uses R for some practical coding (it also shows how to do in Excel, but R is much better)