Could do with more exercises.

However, I found some elsewhere on the internet, so that was complementary

Pretty good introductory material overall. Only disappointing part was the section on linear regression.

Very nice introductory course, practical and to the point. Good starting point for more detailed courses

A little hurry in the normal distribution part, otherwise a great course for Bayesian introduction.

Excelente curso, porém acredito que uma implementação dos códigos também em Python seria perfeito.

a little bit difficult, I think you need to hold a solide background toward inferential statistics

I expected more examples to be solved or at least it could be provided as supplementary materials

The course is good but requires a lot of homework if you are rusty on probability/statistics...

Very Useful

It was little difficult to understand what the professor , but anyway it was good.

Very good! Many exercises - of an appropriate level - helping understand the content

Steep learning curve. really taxed my thinking capacity. I enjoyed it thoroughly!

A very good course which enlights me the study of bayesian statistics, thank you.

Some aspects are very well covered while some points qould be more elaborated.

Unfortunately I could not finish the course in due time. But it is very useful.

Would have liked more practice problems but all-in-all, a good crash course.

Good course , but contains some challenging material .Thank you Professor L

Good course, but in my opinion misses of lectures/pdf to ease understanding.

It was a nice introduction course. Not too heavy. I really enjoyed it.

I could say , it is the best bayesian stat I ever experience till now.

This is a good course if you know probability and want to practices

Excellent course, but the lack of the written notes is a big minus

Satisfied with the course in general. Good investment of my time!!

es una buena heramienta de aprendisaje pero tiene algunos errores

Good introduction, but there is no variety in the test questions

Quite harsh but give me some insight on prediction and estimation