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 Borja R S•
The teachers are clearly experts in what they do, but sometimes I think it is that same expertise that makes them jump to conclusions too easily, making it difficult for beginners to follow.
By Ran W•
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.
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.
By Augusto S P•
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.
By Oliver B•
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..
By Pranav H•
The course could have given more information on tiny details which can confuse people during the exercises. But overall a good learning experience
By Alessandra T•
We still don't understand how Bayes differs to Frequentist... A worked example comparing the two at the end would have been nice.
By Ken M•
It would have been great if more graphs had been provided, for easier visualization of the e.g. distributions, or concepts.
It would be better to add more explain about those equations and connect the math stuffs with the real world samples
By Max H•
It would be much better if there was a more sufficient introduction to the various distributions used in the course.
By Victor D•
Very informative as an introduction to concepts, but nowhere near the deep dive I'm now interested in taking.
Good course!!... Additional examples of real life explained and done in R or excel will make it great
By Binu M D•
Too much theoretical than practical applications. No need to give both R and Excel videos.
By A A•
Would have liked more problem solving and real-world application examples.
The workload is manageable however the homework is somewhat challenging.
By Hassan S•
Not well organized.
No sufficient materials, references, etc.
By sokunsatya s•
Overall, it's Ok. but the explanation is too short and incomplete.
By aref h•
better to come up with more examples and more mathematical details
By Rajesh k•
This course could be taught in better understanding way
By Tawan S•
For some derivations, the explanations are too sparse.
By Damir M•
A bit too short.
By Marjan H•
I expected better teaching quality. The instructor is undoubtedly one of the bests in his area, but I personally did not like his teaching in this course. I felt he knows a lot of interesting concepts but intentionally does not teach them. The whole course was like somebody was reading from a textbook without adding any comments for students to actually grasp the concepts. In general I liked the course but I expected to learn much more from it.
By Patrick K W•
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.
By Vinod M•
Week 4 explanations are just theoretical where professor is literally not giving any intuition and rushing through the concepts with equations which did not make any sense to me. Till week 3 I could kind follow. I did this course with the intend of giving a based for Machine Learning study and I am an thoroughly disappointed the way it ended up.
By Dennis R•
Good content. However, way of presentation is not very engaging. Presenter's voice very monotonous and free of any engagement. In my opinion, scribbling formulas to the board does not make a helpful learning experience.