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.

needed a list of textbooks and references...

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.

Bayesian Statistics is an essential course for anyone working with data. THis course will provide some introductory concepts and proofs. However as the course progresses to week 4 explanations are rushed or nonexistant.

Compared to other courses like from deeplearning.ai this course is not well maintained with poor quality of instruction and exercises. It feels like a wasted opportunity.

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.

The topic is very important, but the lectures are sometimes like reading wikipedia and rewriting it on the blackboard. It lacks intuitive examples and analogies. It might be OK if somebody already have really strong statistician background and intuition. Otherwise it would be really tough to catch 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.

Unsuficient 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.

Right off the bat I disagree with the instructor, or at least am disappointed that his explanation of the rain or no rain example is lacking. It's either goin to rain tomorrow or it isn't. So, assuming there is no prior knowledge of the weather tomorrow, there are two possible outcomes, either rain or no rain. The sample space is 2 so the probability of either is 1/2. How does he come up with a sample space of 5 and a probability of 1/5 and 4/5. At least do a better job of explaining the reasoning. Gives me no confidence that the rest of the course wont be just as bad.

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.

If you are here to understand why and how, you are wrong. Please go and watch the YT channel StatQuest. This course has the intermidiate level, thus there are zero explanations why and how the things are the way they are. To understan some of the ideas and topics of the course, I had to go through the discussions and forums. This is wrong.

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. :)