Comentários e feedback de alunos de Bayesian Statistics: From Concept to Data Analysis da instituição Universidade da Califórnia, Santa Cruz

I found this course to be really useful. It did progress through the math a bit quickly for my liking, but it was paced very appropriately and the discussion forums were helpful. Excellent examples are contained and I loved how both R and Excel modules were leveraged. Looking forward to seeing more Bayesian courses on Coursera in the future.

Prof Lee derived the formulas in an upbeat way, which helped me learn. I'd suggest putting the actual lectures into pdf for later reference, like is done for supplementary material. Homework assignments were challenging and educational. You might suggest a review of prob distributions as pre-requisite.

Concepts explained very well, useful and informative examples.

Excellent course. For such broad discipline I'm sure it was difficult to choose most important material to fit 4-week course, yet professor did it perfectly. I'd love to see this course in Python, but I guess I can't have everything ;) I'd also love see some examples of using probabilistic programming packages, like Stan or PyMC3 in more real-life problems - I would give 6/5 stars for it!

Great explanations, and great reference material.

Very gentle and at the same time mostly rigorous introduction into the Bayes probability.

A very solid introduction to Bayesian Statistics. Lectures were sufficiently detailed and of excellent quality, and the problem sets supported and reinforced the material very well. I look forward to taking part 2 of this sequence.

Excellent course.

A Good Introduction to Bayesian Statistics. I always get quick response after I post a question on the forum.

An excellent course, it opened a new perspective on statistics for me.

This is a very good course!

Great introduction to bayesian statistics

This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.

Very well structured course. Problems and quiz are real life problems, and it's challenging and rewarding to solve them. Thanks to Prof. Lee for delivering an awesome course.

Great course. Delivers what promises: Bayesian Statistics: From Concept to Data Analysis.

Great course as an introduction to Bayesian Statistics. Interesting material and the pace was very reasonable.

Amazing. Simple, fast, dense, very well taught. I loved the professor, his commentaries and way to explain the contents. Thought the exercises were OK, maybe simpler than I taught but the comments in them helped me a lot to understand the topics. 10/10, a new and better way to teach! Very useful.

I enjoyed the course.

Very good course!

Although I only spent less than one week to finish the course, I think it is quite valuable if you are interested in statistical inference and want to learn more specific in Beyesian Statistics. High Recommended.

As a long time frequentist, I occasionally run into problems that are very awkward to fit into the frequentist paradigm. I was aware at a high level that the Bayesian approach could be applied more naturally. Unfortunately, I was unable to "get it" simply be reading a book on the subject. This course made it very approachable. Professor Lee showed us the difficult math (tough integrals) behind it and how we can apply the results of that math in Excel or R

Great!

Alot of information, concise and clarity is awesome. Would recommend this course to anyone. And I did too. Great, professor. My only suggestion is to speak a little slower.

A very well-organized course. Not a hard one, but one with sufficient quizzes to make sure you understand every concept by solving problems.

Another thing I like about this course, is that I had to actively write a lot of codes in Python and Matlab when doing the exercises(due to my familiarity with these two), although the course teaches a little bit R and Excel programming. This is a very effective way of teaching.

A Fantastic course. Detailed learning materials, Lots of opportunities to test your knowledge, and difficult enough to make you learn something!