Would have liked more problem solving and real-world application examples.

The workload is manageable however the homework is somewhat challenging.

Not well organized.

No sufficient materials, references, etc.

Very short.

Overall, it's Ok. but the explanation is too short and incomplete.

better to come up with more examples and more mathematical details

This course could be taught in better understanding way

For some derivations, the explanations are too sparse.

thank you my teacher

A bit too short.

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.

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.

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.

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.

A pretty standard "college-like" course with many definitions and derivations that do not help with conceptual understanding of the material. There are better tutorial/explanation videos on YouTube.

U​nsuficient explanation.

Lecturer just writes formulas without trying to explain background concepts. It is like reading a book of statistics. No way that most of the students will understand it.

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.

Disappointing. Hard to follow, as concepts are not fully explained or linked. Steps in equations are often skipped without notice.

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

Not very much in depth and does not offer complete lecture notes, which are necessary for answering the quizzes...

Dear Sir, My assignment Quizzes are locked and i am not able to unlock that. Kindly unlock it and help me out.

Materials could be more "worked". Blackboard Classes does not explain all what they should.

Ok overview, but not detailed enough to get a thorough understanding

I don't learn new things. It wasn't as good as I expected.

I would have given this course a zero rating if I could have. The worst online course I had so far. There is no intuition of the subject provided. The instructor just looks like reading from a text (like a robot) and write some equations without enough explanation. There are many Youtube videos available for free that explain concepts way much better than what is available here. Don't waste your time. Reading a book and watching those Youtube videos would help you more.

I have studied some Bayesian Statistics before. I feel like the materials itself is not sufficient for entry level, and will actually confuse some of the learners. Anyway, this is just my two cents. :)