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 Ran W•
Jul 25, 2020
This course gives a very brief background on conjugate prior. However, the lectures on Bayesian linear regression is too superficial. I wish the lectures could have gone into more detail.
Apr 08, 2020
Too much time spent on the beginning and too little on later more complicated concepts such as the posterior predictive. It felt as if that was just a side note in the extra readings.
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 Oliver B•
Jun 01, 2020
Solid mathematical grounding, but would have benefited from more time spent on the history of Bayesian inference, when to use it, why it can be used etc..
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 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 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.
Jul 24, 2019
It would be better to add more explain about those equations and connect the math stuffs with the real world samples
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 Victor D•
Jul 09, 2019
Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.
May 04, 2020
Good course!!... Additional examples of real life explained and done in R or excel will make it great
创建者 Binu M D•
Sep 21, 2019
Too much theoretical than practical applications. No need to give both R and Excel videos.
创建者 A A•
Nov 26, 2018
Would have liked more problem solving and real-world application examples.
Jun 15, 2020
The workload is manageable however the homework is somewhat challenging.
创建者 Hassan S•
May 12, 2020
Not well organized.
No sufficient materials, references, etc.
创建者 sokunsatya s•
May 31, 2018
Overall, it's Ok. but the explanation is too short and incomplete.
创建者 aref h•
Aug 24, 2017
better to come up with more examples and more mathematical details
创建者 Ala R•
Jan 01, 2019
This course could be taught in better understanding way
创建者 Tawan S•
Jun 03, 2019
For some derivations, the explanations are too sparse.
创建者 Damir M•
Apr 09, 2017
A bit too short.
创建者 Patrick K W•
Jul 28, 2019
It's alright because it gives you an overview of what is covered in a Bayesian Stats class, but the material is presented quite poorly and I had to do a lot of second hand reading to answer the questions. It is not particularly enlightening even and the formulas are presented without proper grounding, context, and intuition. I can recommend this only for dedicated self-studiers who already have some sort of grounding in Bayesian reasoning.
创建者 Jorge P•
Feb 02, 2017
Some matters were just given formulas and there was a lack of practice. The course should cover less materials or be longer to be effective in teaching.
创建者 Brett B•
Sep 07, 2020
Disappointing. Hard to follow, as concepts are not fully explained or linked. Steps in equations are often skipped without notice.
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 Fabian K•
May 01, 2017
Not very much in depth and does not offer complete lecture notes, which are necessary for answering the quizzes...