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.
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 Deepak K•
17 sept. 2017
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.
par Enrique s c•
11 nov. 2020
La explicación del material y lecciones fueron excelente. El contenido me agrado, aunque mi recomendación sería que fuera un poco más formal las definiciones. Lo recomiendo.
par Ignacio S•
13 mars 2018
Very useful course to get an understanding of the ideas behind Bayesian statistics and Bayesian inference. Not your course if you are looking for applied Bayesian inference.
par Jian C•
21 sept. 2020
I really enjoyed this course. The instructor explained the concepts concisely and clearly. The information was useful, the supplementary materials and quizzes were helpful.
par Mohan N•
3 mars 2018
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.
par Timo K•
13 mars 2019
Very good overview to the area. Efficient and clear lectures - emphasis on the quizzes that required just a proper amount of focus and time from my personal point of view.
27 avr. 2020
Presenter is awesome. Just the right pace - and very clear. Material is well thought of.
Only latex formula's don't show up that nice in Chrome... Had to switch to Safari.
par Julian R S•
15 nov. 2017
A great introduction to bayesian statistics. I warmly recommend this course to those already familiar with the frequentist approach and willing to expand their knowledge.
par Dariia V•
7 mai 2019
simple, clear and enjoyable. will take the second course in the series, then move to heavy literature on the topic.
Special thank you to the instructor! you are amazing!
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 BÙI T H•
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).