A concise and clear introduction to the Bayesian paradigm. Its conciseness make it suitable for frequentists wanting to get a quick overview of the Bayesian Way.

Thank you so much, Herbert Lee. I really like the way you explain everything clearly and how you organizes the contents. I recommend this course for my friends.

excellent course to understand Bayesian approach. i have good idea bout prior and posterior probability, predictive distribution , maximum likelihood estimates

The awesome course really liked the mathematically. If someone really want to understand the Bayesian statistics, they should definitely go through this once.

A great introduction to Bayesian Statistics for everyone who has some basic knowledge of calculus and is familiar with the fundamentals of probability theory.

Great introduction to the Bayesian framework! The exercises are relevant and I look forward to the second part (Bayesian Statistics: Techniques and Models).

A step by step course, designed to pay attention all the time with tons of practical examples and very clear explanations, I would definitely recommend it!!

Herbert is clear, gives great examples, and is easy to follow. The question prompts are helpful, and the quizzes thoughtful and challenging. Great course.

Very good course for fundamentals of Bayesian statistics. Made me understand Monte Hall problem, conditional probability, etc. in a totally different way.

The course creates great foundations for digging deeper into more complex concepts and trying to run some Bayesian statistics on simple real life problems

A mathematics course I really enjoyed because the instructor was actually teaching the material as best as one could without meeting the students. Great.

Thank you very much for sharing your knowledge with the public. Now I am no more afraid to face the book 'Bayesian Data Analysis' by A. Gelman et al.

I really enjoyed this course. Dr. Lee is a really good instructor. The materials and tests are good as well and will help you during the journey.

Great course. Intermediate to advanced level (at least for me). You must have good foundation in probability. If so, you will learn a lot. Thanks

Good course about bayesian! I finally understand the relationship between frequentist idea and Bayesian approach and Beta gamma distributions

This was a were educational course. I had trouble understanding R programming but with this topic, most of the programs became more clear to me.

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

I loved everything about this course. It reminded me of my time in school. Papers and pencils. I look forward to attending the follow up course.

As a computer science student, I feel Bayesian approach is much more intuitive and more computationally friendly than the frequentist paradigm.

It's a good course to know the principal concepts of Bayesian statistics. Also, the course has excellent examples to understand thew concepts.

I really appreciated the content, and the way it was taught by Prof. Lee. His explanations were intuitive, without loss of mathematical rigour.

Consistent and mathematically dense. If you want to go through every passage this course gives you solid understanding of Bayesian statistics.

Very good course. Concepts are very well explained, and quizzes are really helpful to apply and further

understand the explanations provided.

Thanks, Coursera. This is a good course. It would be helpful if we get any proper class notes on Jeffrey's prior and Multivariate regression.

Great course with a lot of simple, but illustrative exercises. It may be useful to have some basic prior knowledge of econometrics/statistics