Good intro to Bayesian Statistics. Covers the basic concepts. Workload is reasonable and quizzes/exercises are helpful. Could include more exercises and additional backgroung/future reading materials.
An excellent course with some good hands on exercises in both R and excel. Not for the faint of heart mathematically speaking, assumes a competent understanding of statistics and probability going in
par Brian K•
Great introduction to Bayesian statistics. Very helpful for me, especially for understanding some of the times when priors might be useful, and how they can aid me.
par Frank K•
Taking this course hase been fun. The material is presented in a clear and structured way, the Tests help to understand and deepen the knowledge. I can recommend it.
par Sankarshan M•
very good course with good concept and work. Content is very rich. Assignments are very good. It was very helpful for me. Thanks for providing such a good course.
par Neal S•
Overall a great course! The honors assignments helped deepen the understanding of the concepts, and weren't just extra work.
The instruction videos are a bit dry.
par ENRICO S•
Great course. I was more confident in frequentist than Bayesian one so, I found this course very enlightening for me and topics' structure has never been boring.
par Patricia B•
Necessary concepts are reviewed to the necessary depth. This is a rigorous yet light material that presents statistics on university intermediate/advanced level.
par Luca M•
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.
par BÙI T H•
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.
par Elma J•
excellent course to understand Bayesian approach. i have good idea bout prior and posterior probability, predictive distribution , maximum likelihood estimates
par Raj K•
The awesome course really liked the mathematically. If someone really want to understand the Bayesian statistics, they should definitely go through this once.
par Fabian S•
A great introduction to Bayesian Statistics for everyone who has some basic knowledge of calculus and is familiar with the fundamentals of probability theory.
par Antoine N•
Great introduction to the Bayesian framework! The exercises are relevant and I look forward to the second part (Bayesian Statistics: Techniques and Models).
par Isaac D•
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!!
par jl b•
Herbert is clear, gives great examples, and is easy to follow. The question prompts are helpful, and the quizzes thoughtful and challenging. Great course.
par Naveen M N S•
Very good course for fundamentals of Bayesian statistics. Made me understand Monte Hall problem, conditional probability, etc. in a totally different way.
par Pawel R•
The course creates great foundations for digging deeper into more complex concepts and trying to run some Bayesian statistics on simple real life problems
par me m•
A mathematics course I really enjoyed because the instructor was actually teaching the material as best as one could without meeting the students. Great.
par Laure N•
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.
par Allan V d C Q•
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.
par Thadeu F•
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
par Simiao R•
Good course about bayesian! I finally understand the relationship between frequentist idea and Bayesian approach and Beta gamma distributions
par Eben E•
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.
par Cooper O•
A Fantastic course. Detailed learning materials, Lots of opportunities to test your knowledge, and difficult enough to make you learn something!
par Nitin K•
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.
par Tiannan S•
As a computer science student, I feel Bayesian approach is much more intuitive and more computationally friendly than the frequentist paradigm.