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 Yalong L•
Oct 10, 2019
The first question in Week 4 Honor Quiz, the coefficient for intercept, I got 138 which you show incorrect, would like to know the correct answer.
创建者 Zhenkai S•
Oct 08, 2019
The course is in general well structured. The professor used a lot of mathematical equations to explain the contents. I have no problem understanding them. Everything goes smoothly, until the last section: Bayesian Linear Regression (BLE). In the last section, the professor skipped all the mathematics aspects and rushed the content with R / Excel examples. This is not what I expected. Overall, I will rate the course 4 stars.
创建者 Ala R•
Jan 01, 2019
This course could be taught in better understanding way
创建者 Francesco L•
Feb 01, 2019
The topic of the course is very interesting and the subject warrants it. Yet, especially the coverage in the last week of the course appears to be shallow and too many concepts are pushed down as valid or true without a lot of theoretical justification. Besides, some of the interesting conclusions are part of the quizzes rather than an integral part of the lectures. I also think that a course like this should allow the students to receive more written material in the form of PDF files that would cover all the matters being explored. What is made available is fragmented and does not cover all the topics in an organic fashion. I believe the course could be improved substantially.
创建者 A A•
Nov 26, 2018
Would have liked more problem solving and real-world application examples.
创建者 sokunsatya s•
May 31, 2018
Overall, it's Ok. but the explanation is too short and incomplete.
创建者 Olexandr L•
Jul 01, 2017
It was quite difficult to learn from just the material provided here, and I had to look for info on the web. Also, adding modern real life examples and going into detail would make this course better
创建者 Alessandra T•
Jun 30, 2017
We still don't understand how Bayes differs to Frequentist... A worked example comparing the two at the end would have been nice.
创建者 aref h•
Aug 24, 2017
better to come up with more examples and more mathematical details
创建者 Augusto S P•
Sep 24, 2017
The course is good for beginners in statistics. In my opinion it would be better to invest more time explaining different topics about bayesian regression and bayesian time series.
创建者 Ahmed S•
Jan 04, 2017
This course requires solid grounding in mathematics. No meant of Social Science graduates without proper training in statistics/mathematics. The course was good in the sense that we could how probability distributions are used to model real world problems.
Study material was certainly not adequate.
创建者 Johannes M•
Jun 06, 2017
I am working in the field of epidemiological, medical research. Overall I would recommend taking this course. It needs to be pointed out, however, that if you are outside of the field of mathematics this specific course entails a lot of research (using google etc) that needs to be undertaken to understand the course material. Maybe in the future the course directors can compile a summary of all important formulae etc so that professionals from sectors other than mathematics can follow more easily and can focus much on this particular course on Bayesian statistics and not so much on conducting additional research to understand the basic course material. Furthermore, alongside a summary formula sheet it would be good to have all explanations included, what the parameters (alpha, beta etc) stand for with regards to the specific context. Thank you very much for this course!
创建者 Francois S•
Sep 05, 2017
Nice introduction to Bayesian concepts. Presentation sometimes focused on the details of the calculations and could gain from more perspective. Sections relating to Normal variables - variance unknown and Linear Regression could be more explicit. Useful overall as an introduction, but require to get additional external material to get to the bottom of it.
创建者 Damir M•
Apr 09, 2017
A bit too short.
创建者 Dmitry S•
Sep 20, 2016
The material is good, but I've found the lectures challenging to understand even having some background in math. It would be good if all the definitions and key facts were stated more prominently in the lectures, as opposed to algebraic transformations which most readers can hopefully do on their own.
创建者 Joseph R R•
Oct 11, 2016
Liked the course, but it was a little easy (took four days total to do the material for the whole course). Many questions were left unanswered (such as how dependent the credibility intervals are on the choice of prior distribution and the assumed distribution of the data), and it didn't touch on later topics that are interesting (MCMC sampling). Again, good beginning course, but I was looking for more in depth study.
创建者 Suyash C•
Dec 24, 2017
Plus Points of the course -
It starts with a context of where and why bayesian statistics comes into play. Good real world examples and questions are posed to drive home this point at the start of the course.
Where it could have been more helpful -
1) Somewhere in between the course gets lost in math expressions and distributions drifting away from real world implications. This would be ok for someone looking for pure math/stats. However it would become less relevant for someone coming from data science/business side. More real world use cases could have been there. (2) Better guidance on which other streams of data science/business can have application of this knowledge would be helpful (3) More comprehensive set of resources (pdf ones) would be great
创建者 Jens L R•
Jan 31, 2017
It was pretty intuitive and easy to follow the first couple of weeks, but then the assumed knowledge of beta and gamma distributions and their frequentist usage, stood in the way of me fully grasping the Bayesian part of it. In the end I just copied the examples from the lectures and passed the tests ... without really getting it.
创建者 Pranav H•
Jul 02, 2018
The course could have given more information on tiny details which can confuse people during the exercises. But overall a good learning experience
创建者 Jesús R S•
Jul 19, 2017
Good course as an introduction to bayesian statistics if you want to pursue more advanced courses in the field or to get some practise working with distributions under the bayesian framework.
创建者 Yuzhong W•
Oct 03, 2016
The lectures from week 1 to week 3 are nice and useful to me, but I think there should be more details about the content in week 4. For example, I think the lecture about the Jeffreys prior skipped many things and I did not understand this concept very well.
创建者 Ken M•
May 01, 2019
It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.
创建者 Tawan S•
Jun 03, 2019
For some derivations, the explanations are too sparse.
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 Victor D•
Jul 09, 2019
Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.