Sep 01, 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.
Jun 27, 2018
Great course. The content moves at a nice pace and the videos are really good to follow. The Quizzes are also set at a good level. You can't pass this course unless you have understood the material.
创建者 Scott S•
Oct 28, 2018
This course gives an introduction to the theoretical basics of Bayesian statistics. Before taking this class, I had a very confused view of the whole Frequentist vs Bayesian "debate". I understand now that Bayesian statistics is really about attaching uncertainties to beliefs and producing a clear definition of this uncertainty (especially through the notion of credible intervals).
The course really focusses on theory. I recommend knowing a bit of basic stats concepts before taking the class, such as Bayes' Theorem, basic discrete and continuous distributions, and confidence intervals. If you are not experienced with these, be aware that you will likely need to read-up on them throughout the course. R is used, but the usage is so simple that you should not shy away due to a lack of R experience.
I really have no complaints about the course. After completing it, you should understand the differences between Bayesian and Frequentist approaches. You will also understand a lot of terminology that gets thrown around in data science these days (priors, posteriors, credible intervals).
Jul 02, 2018
So, I really wanted to LOVE this class, but instead I found that I merely liked it, and want to use this review as a way to explain why. WHAT I LIKE ABOUT THE CLASS: The material is sufficient for the topic at hand, and is structured in an appropriate way. If you work through everything you'll have a decent grasp of exactly what the class is meant to be about. It's also pretty well paced. WHAT I DIDN'T LIKE ABOUT THE CLASS: Dr. Lee usually rushes through or skips discussions what concepts mean before formalizing them mathematically. As a result it's very easy to make progress through the class without a good feeling that you actually "get" what Bayesian statistics is really about. Too many of these videos are him chopping wood through the mathematical jingo, when the material DESPERATELY needed a 3-5 minute introductory video about what concepts actually mean or how to think about them. I remember telling my girlfriend during the middle of the class that I found it frustrating because I was progressing through it quickly, and getting the quizzes right, but lacked a good intuition for how to think about Bayesian statistics. So Dr. Lee......work on those presentation skills! Think deeply about how to communicate the essentials of the concepts in each lesson, and THEN start pounding away on the whiteboard!
创建者 Timo K•
Mar 13, 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.
创建者 Asael B I•
Feb 28, 2019
a really good course!
though sometimes the questions in quizes aren't clear enough,or not explaind else where,and sometime you could miss the big picture.
could also be good if you could add some python scripts,and maybe more reading material about the topics.
创建者 DM C•
Jun 11, 2018
I don't find that the lectures do a good job of relating the material to real world usage. To much focus on equations and too little on the why.
创建者 Megan G•
Jul 26, 2017
I felt like I just did a lot of calculations. The course was better in the beginning, as I felt the professor actually explained what and why were were doing what we were doing. By the middle of the course, however, I felt that the professor just jotted down equations and went really quickly. I don't actually understand why I was doing the calculations that I was doing.
Feb 16, 2017
If you already know everything about the topic and just forgot some little things or you are very strong in calculus, this may be a nice refresher. Otherwise, not very useful. Really dense and little explanation. I liked the Youtube MIT course on Probability (it includes Bayesian Statistics) much more, since it has good explanation of the concepts.
创建者 Aditya D•
Jul 17, 2019
The course itself is well structured and covers a lot of material.
There are points in the course where the order of reading material and videos needs to be switched. Also, it would help to update some videos with a little more explanation. It appears as if the lecturer is skipping steps.
创建者 Jose M R F•
Jul 14, 2019
Very well explained. Lectures are given in a very nice way as the professor writes. Exercises and quizzes are very well done.
创建者 Max H•
Jul 14, 2019
It would be much better if there was a more sufficient introduction to the various distributions used in the course.
创建者 Lee V•
Jul 12, 2019
The lectures were good but rattled-along at quite a speed, even with pausing and "rewinding" I still found it difficult to follow, esp towards the end. I think a short explanation at the start of the video explaining what was going to be covered, what its role was and where it fitted into the big picture might have helped (background is UK maths A-level 45yrs ago and a career on the fringes of science)
创建者 Victor D•
Jul 09, 2019
Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.
Jul 09, 2019
Most of the stuff is explained quite well and I managed to understand it. I am quite satisfied overall and I am glad I completed the course. The exercises, however, were somewhat boring. I wish there were some optional exercises that are more challenging and require you to solve more realistic problems. I also wish there were more additional materials with more in depth theory and examples of how they use these concepts for solving problems that are actually of some use. I feel like these improvements would make the course much more interesting and engaging.
创建者 Yidan Z•
Jul 07, 2019
very helpful for learning Bayesian on your own.
创建者 Arasch M•
Jul 07, 2019
The course helps in developing a quite sound grasp of the Bayesian approach to the world. The assignments are feasible and help in gaining a deeper understanding of each subject. However there is a caveat: You definitely need to review your math skills before starting this course (esp. calculus, arithmetics and combinatorics) otherwise you'll be struggling with the particularities !
创建者 Mehrdad P•
Jul 04, 2019
it was an okay course, I liked that they used R occasionally in the course, but I did not like how the concepts were discussed
创建者 Robert G•
Jul 03, 2019
Overall great course, the last part (linear regression) seems somewhat disconnected from the rest of the course.
创建者 Artem B•
Jul 03, 2019
Great course with a lot of simple, but illustrative exercises. It may be useful to have some basic prior knowledge of econometrics/statistics
创建者 Deborah S•
Jun 28, 2019
Didatic and complete course! I recomend 100%
创建者 yogi t c•
Jun 22, 2019
I don't have background in math and statistics, in the first week of the lecture i can catch up with the lesson, but coming into week 3 and 4 it's really hard to me to understand what's happening, since the lecture / videos only talking about the formulas and only taught us how to use the formula. Actually for person like me who want to know Bayesian Statistics application in the real world and also fundamentals of it it's quite not recommended to took this lecture, honestly. However in the general understanding this lecture quite can help me how Bayesian thinking works what is the connection between likelihood, prior, how to choose prior, etc.
创建者 Felix S•
Jun 19, 2019
Great intro to Bayesian Statistics if you have some stats background in the frequentist domain.
创建者 Piotr G•
Jun 17, 2019
Very high quality course. Could use some modifications (e.g. few more applied examples for regression using specific priors, MCMC etc.) and implementing some simple metaphors to introduce some topics before jumping into the maths.
创建者 Derek H•
Jun 12, 2019
Good to learn or re-learn the basics of statistic and probability, and as a foundation for learning maximum likelihood methods (which are much more useful later on). The material is digestible, to the point, and the quizzes are helpful in checking your understanding and information retention.
创建者 Stephen S•
Jun 09, 2019
I thoroughly enjoyed this course as I found it to have a good mix of background and application.
创建者 Juan J O O•
Jun 07, 2019
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.