GS
Aug 31, 2017
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.
JB
Oct 16, 2020
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
By Frank K
•Jul 1, 2017
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.
By Sankarshan M
•Aug 27, 2017
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.
By Neal S
•Apr 10, 2020
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.
By Enrico S
•Aug 17, 2017
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.
By Pat B
•Aug 1, 2017
Necessary concepts are reviewed to the necessary depth. This is a rigorous yet light material that presents statistics on university intermediate/advanced level.
By Luca M
•May 16, 2017
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.
By BÙI T H
•Dec 2, 2017
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.
By Elma J
•May 11, 2020
excellent course to understand Bayesian approach. i have good idea bout prior and posterior probability, predictive distribution , maximum likelihood estimates
By Raj K
•Dec 29, 2019
The awesome course really liked the mathematically. If someone really want to understand the Bayesian statistics, they should definitely go through this once.
By Fabian S
•Jan 18, 2018
A great introduction to Bayesian Statistics for everyone who has some basic knowledge of calculus and is familiar with the fundamentals of probability theory.
By Antoine N
•Aug 21, 2017
Great introduction to the Bayesian framework! The exercises are relevant and I look forward to the second part (Bayesian Statistics: Techniques and Models).
By Isaac D
•Jan 20, 2017
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!!
By jl b
•Jun 11, 2020
Herbert is clear, gives great examples, and is easy to follow. The question prompts are helpful, and the quizzes thoughtful and challenging. Great course.
By Naveen M N S
•Sep 21, 2017
Very good course for fundamentals of Bayesian statistics. Made me understand Monte Hall problem, conditional probability, etc. in a totally different way.
By Pawel R
•Oct 3, 2016
The course creates great foundations for digging deeper into more complex concepts and trying to run some Bayesian statistics on simple real life problems
By mohan r
•Dec 1, 2019
A mathematics course I really enjoyed because the instructor was actually teaching the material as best as one could without meeting the students. Great.
By Laure N
•Mar 6, 2018
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.
By Allan Q
•May 7, 2020
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.
By Thadeu F
•Jul 5, 2017
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
By Simiao R
•Jul 20, 2020
Good course about bayesian! I finally understand the relationship between frequentist idea and Bayesian approach and Beta gamma distributions
By Eben E
•Apr 12, 2020
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.
By Cooper O
•Jun 27, 2017
A Fantastic course. Detailed learning materials, Lots of opportunities to test your knowledge, and difficult enough to make you learn something!
By Nitin K
•Jun 1, 2017
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.
By Tiannan S
•Jul 6, 2020
As a computer science student, I feel Bayesian approach is much more intuitive and more computationally friendly than the frequentist paradigm.
By Fernando D L
•Mar 11, 2019
It's a good course to know the principal concepts of Bayesian statistics. Also, the course has excellent examples to understand thew concepts.