The course provides a good explanation of a complex topic. I had trouble following some of the statistical mathematics but was able to understand the concepts and the different range of possible applications.

Short course that's actually mostly theoretical with a bit of R/Excel analysis. This fitted my needs perfectly. My only suggestion is that they should have released more comprehensive notes for the lectures.

The course content is great and provides a good introduction to bayesian statistics. The assignments could be a little more challenging as a lot of the questions require just plugging numbers into formulae.

I could grab the concept of Bayesian statistics but did not find the course fully self-contained. I had to look elsewhere to fully understand details. More complete supplementary material could help a lot.

Good use of R but maybe use the actual coefficient from the equations themselves rather than picking numbers pre-selected which may confuse.

Unable to look at discussion forum without posting myself.

The concepts could have been made much more easier, simpler and more examples could have been inculcated. But overall, a great course to gain in-depth insights for a starter on Bayesian Statistics

This is a good course for reviewing basic concepts of statistics, and good for starting learning Bayesian, as introduced as a basic course. If you want to learn deeper, go and find another course!

the notes for the lectures are missing.

In my opinion the notes, which includes the video materials could be very useful.

the course was good. I learnt some new concepts in bayesian thinking.

Good course. As a recommendation to improve it, it would have been very helpful if the lectures (PDF) given with each lesson included all the formulas and explanations given in the videos.

I found this course useful and the arguments are well explained. However I would have liked a more depth explanation regarding normal data, since are often used in real world application

Very clear and informative. Would like a more extensive and combined reference material (PDF, so less need to lookup e.g. definitions of effective sample size for various distributions).

It was a good course for me to get familiar with the new perspective on statistics. Thank you!

Maybe, some extended practice exercise at the end of the course would make it even better)

A good course but neither notes nor lectures were not in much details. But still it was worth my time. I strongly recommend it if you want a subtle introduction to Bayesian Statistics.

This course is vary helpful for the understanding of the basics of Bayesian analysis. The course material are fantastic as well as the teacher. Good introductory Course in My opinion.

Great course (and teacher). Assumes some basic highschool level for math. With experience in frequentist statistics, but not all the distributions this course was "easy" to follow.

Great course in a difficult subject. Well structured. Requires some previous knowledge otherwise difficult to follow. Big thanks to professor Lee for bringing to us this content.

Very straight-to-the-point course. Very dense, though, for a newbe in bayesian terms and concepts. But I definitely suggest it to undertand priors and posterior concepts. Thanks!

Solid, comprehensive course but helps to have a bit of background in Bayesian statistics to follow along. Would also liked a little more on the practical applications using R.

A great intro to Bayesian analysis and probability distributions. Personally I skipped the Excel content and converted the R code to python, which was itself valuable learning.

Es un buen curso introductorio, alguna explicaciones y deducciones matemáticas podrían explicarse mejor. Además estaría bueno que se den más ejemplos practicos en los videos.

I think the course would benefit by recommending a textbook that would supplement the lecture material. It's nice to have a reference to refer to after viewing the lectures.

This is a good course, I've learn a lot about Bayesian statistics with very little prior knowledge about this subject and even about statistics and probability in general.

This is a nice, bite-sized introduction to Bayesian inference. Helpful lecture notes are provided, alongside introductions to practical computations using R and Excel.

Great course with clear structure and good explanations. An overview "cheat sheet" would be nice, also some hints to literature which covers the topics in more depth.

A little heavy on the theory for my style of learning - would have appreciated more clear, applied examples in the lectures, but overall a good and informative course