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 Jonathan H•
This course is well prepared.
The videos are of high quality and the lessons are easy to follow.
I enjoyed the Honors content as well, that gives an extra challenge to those who want it.
par Ana E R O•
Prof. Lee's approach is simple and intuitive. There are exercises throughout the videos, which help you make sure you and the professor are on the same track. I would certainly recommend it!
par Sudhir K P•
This is first time exposure to bayesian statistics and I must say it has given me a different perspective to analyzing data especially when dealing with unpredictable data or unknown data.
Very nice introduction to bayesian concepts and rationale. With this course I could understand why should I spend more time learning this technique (which I will definetly do on sequence).
par Burak U•
This was an invaluable learning experience. I was delighted to go through this learning.
I strongly suggest this course to anyone who wants to learn or refresh their statistics knowledge.
par Flavio L•
Amazing course ! Excellent. Prof. Herbert has a great didactics, the material is clear and very well planned, including the assessments. Thank you very much. Flavio Lichtenstein (Brazil).
par Ming L•
I like the course and how the questions are designed. I wish it can be accompanied by a booklet of transcripts of some sort. Videos are good, but so are traditional reading materials.
par Sanjiv P•
Very insightful. I'd recommend this course to anyone who wants to learn how to adjust a model after observing data. Test questions were quite practical modeling real world scenarios.
par Manos T•
Exceptional course on probabilities and statistics from a Bayesian point of view. I would recommend this course to anyone wishing to learn more about probabilities and statistics.
par Magdalena S•
One of the best courses I took to date. Paralleled only by ML (by Andrew Ng). Non-trivial assignments, focused on practice, well-explained concepts in readings. Truly impressed.
par Oleksii N•
The best course for beginners in Bayesian analysis! But some knowledge of frequentist statistics, distributions (Exponential, Poisson, Normal, Bernoulli, Binomial) is required.
par Jaime E A•
I recommend this course for anyone interested in learning Bayesian statistics: You can start here. It covers the core concepts as well as some computations using R and Excel.
par Deepak K•
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•
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.
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•
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•
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•
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.
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•
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•
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•
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•
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•
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•
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!