GS
31 août 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
16 oct. 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
par KJ B
•14 juil. 2017
This is a good course. The instructor offers additional material that help with the understanding of the material, along with enough quizzes to help with practical use.
par Marc N E D
•13 mars 2020
Very good and concise course. I would, however, propose to delve more into theoretical mathematics and explain them with more detail as it seemed to advance very fast.
par Quan N
•2 août 2017
This course helped me a lot in getting a better understanding of Bayesian methods. I recommend this course for all data scientists and machine learning practitioners.
par Xi L
•23 nov. 2021
Herbert Lee explained the concept and basic applications of Bayesian Statistics very well! His lectures are well worth sitting down and taking notes while atttending!
par Brian K
•19 févr. 2019
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
•1 juil. 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.
par Sankarshan M
•27 août 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.
par Neal S
•10 avr. 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.
par ENRICO S
•17 août 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.
par Pat B
•1 août 2017
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
•16 mai 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.
par Hiep B
•2 déc. 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.
par Elma J
•11 mai 2020
excellent course to understand Bayesian approach. i have good idea bout prior and posterior probability, predictive distribution , maximum likelihood estimates
par Raj K
•29 déc. 2019
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
•18 janv. 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.
par Antoine N
•21 août 2017
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
•20 janv. 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!!
par jl b
•11 juin 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.
par Naveen M N S
•21 sept. 2017
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
•3 oct. 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
par mohan r
•1 déc. 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.
par Laure N
•6 mars 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.
par Allan V d C Q
•7 mai 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.
par Thadeu F
•5 juil. 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
par Simiao R
•20 juil. 2020
Good course about bayesian! I finally understand the relationship between frequentist idea and Bayesian approach and Beta gamma distributions