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.
By Marc D•
Jan 26, 2019
I liked it as introduction to Baysian statistics. With the material provided it was quite easily possible to answer the questions. I would have preferred that the videos of the course contained all the material and that it would not have been required to have read through material.
By Thierry C•
Oct 01, 2019
The course was well explained and there were several exercises pushing the learner to understand the logic behind the mathematical concept. I think it is a suitable class for people with already a certain level of statistics knowledge, even though all concepts are well explained.
By Jose N d l R•
Apr 17, 2017
I think that, besides lesson 11 and 12, everything was very well explained. I was a bit confused with lessons 11 and 12 since I am not new to econometrics. Perhaps I found it confusing the theory background related to the lessons themselves. Just my opinion, very good course.
By Praveen K•
Jun 01, 2020
The course was very well designed, I got to learn about a lot of new things in statistics that I had to understand. But for a Data Analyst working on large data sets and primarily working on ML this course is far too basic. Also, some of the concepts can be explained better.
By Łukasz F•
Feb 05, 2019
I really liked the course.
What I think could be nice improvement would be more nsightful notes. Which means, that after every video, there should be a separate sheet with all the formulas being described in more detail, so that you can refer to them any time during quizes.
By Thomas J M•
May 22, 2018
Overall the course is pretty good. They breakdown the concepts into clear and concise lectures. My only grip, is that the quizzes occur a little too frequently. They really interrupt the flow of the class. I would definitely prefer them spaced in 30-60 minute interval.
By Ekaterini T•
Oct 31, 2018
I found the need to search for most of the material needed to understand the lessons in other sources. Other than than it was a relatively easy class, which covers nearly the basics. This is not a tutorial on Data Analysis on R, although a short introduction is provided.
By Mohd S K•
Nov 19, 2019
Course covers the concept in a very simple way. Examples and assignments are very good.
However some of the statements made throughout the lectures needs more explanation , the course did not dedicate any videos to get familiar with terminology related to probability.
By Luiz G S S•
Apr 17, 2020
It is a really interesting course. However, I think it should include more examples and meaningful ways to estimates some parameters. For example, how can I estimate alpha and beta for an Inverse-Gamma distribution in order to obtain a prior for the sigma-squared?
Jan 14, 2017
Pen hard to see against shirt. Was mildly irritating to wait for prof to write out stuff, maybe prewrite it?
Went too fast forward for me, would've liked complementary optional material, eg extra quizzes, to help understand and get used to the tougher parts.
Jul 09, 2017
Great introductions to Bayesian statistics and inference. Quiz is actually not easy just by passively viewing videos, so taking notes during lectures is strongly recommended. Do not be afraid the Honor quiz...they are not so different from the normal ones.
By Elguellab A•
Jan 29, 2019
Likely course and practical: it help us to understand some basic notion for bayesian inference. But Some concepts are less clear and I think need more development and explication (like effective sample size, Jeffreys prior). Great job over all.
By Jerry S•
Mar 14, 2017
The lectures were good, but I hope more background materials can be released. Understanding the topics needs a relative solid mathematical background. Although having completed the course, I am still confused about some concepts in this course.
By Brian M•
May 21, 2020
My first free course, so this may be way off the mark in terms of norms, but I would have appreciated if supplementary material was either provided or suggested for doing more practice exercises, with worked through examples.
By DR A N•
Sep 04, 2017
The course was excellent !...Giving a good overview of the basics needed to navigate through this topic. However, it would have been really great if some specific examples with respect to medicine and public health practice were incorporated
By Jakob W•
Mar 15, 2018
I found it to be a solid course. It has given me better grasp of the basics. I also found it a bit dry, and significant time spent on equations rather than high-level understanding. This is fine, as long as you know what you are in for!
Jan 07, 2020
Overall the class is great, especially the first two weeks' content is simple and well-explained. But from the week 3 to the week 4, the professor only writes many formula and doesn't provide enough examples to explain those formula.
By 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.
By Yahia E G•
May 04, 2019
Very good course for beginning bayesian inference. The syllabus is easy to follow, but I also think one could benefit even more by complementing the lectures with other sources (books or other youtube explanation)
By Bojan B•
Apr 10, 2017
Short course that's actually mostly theoretical with a bit of R/Excel analysis. This fitted my needs perfectly. My only suggestion is that they should have released more comprehensive notes for the lectures.
By Raja G•
Dec 12, 2019
The course content is great and provides a good introduction to bayesian statistics. The assignments could be a little more challenging as a lot of the questions require just plugging numbers into formulae.
By Leszek B•
Jan 15, 2018
I could grab the concept of Bayesian statistics but did not find the course fully self-contained. I had to look elsewhere to fully understand details. More complete supplementary material could help a lot.
By Marc S•
Oct 10, 2018
Good use of R but maybe use the actual coefficient from the equations themselves rather than picking numbers pre-selected which may confuse.
Unable to look at discussion forum without posting myself.
By Michael D•
Feb 19, 2020
the notes for the lectures are missing.
In my opinion the notes, which includes the video materials could be very useful.
the course was good. I learnt some new concepts in bayesian thinking.
By Enrique D T•
Jun 23, 2020
Good course. As a recommendation to improve it, it would have been very helpful if the lectures (PDF) given with each lesson included all the formulas and explanations given in the videos.