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
By Ruoxiao S•
This class is pretty helpful for the beginners and the instructor has a clear organization of the lecture. The Quizzes are also a good way to know what you have mastered. I have a better and deeper understanding of the Bayesian Statistics now.
By Nicholas P•
Highly informative. Prof. Herbert Lee is a great professor providing very thorough notes and material for the Bayesian paradigm of Statistics. I would highly recommend this to any who are interested. It is also a great introduction to using R.
By Michail L•
It was an amazing course. Prof. Lee is an excellent teacher, the lectures were very interesting and illuminating, and the problems challenging and based on the material discussed. Highly recommended to get a basic idea of Bayesian statistics.
By Alexis U•
A good introduction to Bayesian Statistics. Not too deep, but you need to have some familiarity with probability notation. Also it seems it recently had some manteinance because broken links in lectures are now redirected to correct links.
By Jason R•
I found this course to be incredibly useful to learn Bayesian statistics and a useful guide for applying the information in r and excel. I would definitely recommend it to anyone interested in furthering their understanding on this topic.
By Juan J O O•
Excellent course. I learned late to use the note clipboard to take notes. At times the video lectures are hard to follow because the concepts are not easy. I had to watch the video lectures several times to fully grasp the concepts.
By Luca A•
Really interesting course, expecially in the first part, which has a simple and clear introduction where the "philosophy" of Bayesian approach is explained. Now I have some useful instrument and the curiosity for more sophisticated ones.
By Ayush T•
It's really a good course for Bayesian Statistics. Exercises are designed in such a way that they can't be passed if you've not understood the topic completely. The workload is manageable and the course content is really well organized.
By Ghanem w•
This course provide a very good understanding of the bayesian approach of the statistic. It is very accessible thanks to the learning material (pdf) provided before each lessons and which recall all the basis needed.
Thank you Herbie
By Syarif M•
Definitly the best statistic course for beginners with some mathematical knowledge. Love the way the videos are recorded (Transparent glass between the camera and teacher) it should be a standard for online course! thank you so much!
By Howard H•
A very solid introduction to Bayesian Statistics. Lectures were sufficiently detailed and of excellent quality, and the problem sets supported and reinforced the material very well. I look forward to taking part 2 of this sequence.
By Muhammad Z R•
If variables be consistent throughout all lectures, it would be great.
Shirt color was matching at some instances due to which seeing notes on lecture board was difficult.
Examples and quizzes were quite helpful for understanding.
By Sergio D H•
Great introductory course on Bayesian data analysis. The course is self-contained and the videos make a great job explaining the concepts of each lesson. I truly appreciated the practical approach either with R or Excel.
By Alejandro D O•
Excellent course. Prof. Lee is a superb teacher. The balance between class, exercices and tests is well achieved. I would certainly recommend this course to anyone aiming for a first encounter with Bayesian statistics.
By Sandro P•
Very interesting course.
For me the most interesting and important themes are about priors:
1) conjugated priors
2) effective prior size
3) how to choose a prior
4) non-informative priors
5) improper priors
6) Jeffreys priors
By joari c•
Very instructive introduction to Bayes reasoning. By attending all videos and completing quizzes, you get a reasonable understanding of the concepts and reasoning. Thanks to prof Herbert Lee and all the supporting team
By Shiyang Z•
This course is well-designed. A great introduction to Bayesian Statistics. I love the quizzes and short questions in the videos which help to understand the class materials. And the blackboard also looks cool haha
By Tu L•
This is a very helpful and concise course about Bayesian approach to statistical inference. It is suitable for anyone with little background knowledge to quickly grasp the ideas of Bayesian methods in statistics.
Although I only spent less than one week to finish the course, I think it is quite valuable if you are interested in statistical inference and want to learn more specific in Beyesian Statistics. High Recommended.
By Fabian M•
The course manages very well to balance out comprehensibility and content. Professor Herbert Lee has obviously prepared the material very thoroughly and imparts the content of the course in an enjoyable fashion.
By WU T T•
I think the number of quiz questions is appropriate. They helped me to have better understanding of the content of this course. Teacher's lectures are brief and clear. I will take the next part of this lesson.
very helpful courses. The assignment is decent and the professor explanation is very clear. I would like it to provide a bit hint for the honor part too, since there is no answers for the honor part for now.
By Padmeswar D•
I liked the course because it is meticulously designed to help build on concepts in Bayesian Statistical Analysis. The Quiz's really helped me grasp the concepts as they fully supplement the lecture classes.
By Vimos T•
This course makes a lot of details clear to me. Thanks professor for this great course.
I still have one question, is the professor writing on a transparent board in inverse pattern? The technique is amazing!
By Khoa M•
Good introduction to Bayesian Statistics. Although I still need more time to realize how to apply the concepts into real-life situations, it definitely helps if I encounter this subject again in the future.