It seems like this course contains good information, but there's a huge gap in the material as taught by some of the instructors. It seems like one of the instructors in particular assumes you're already familiar with material that's not covered in the rest of the course. These parts of the lectures rehearse math and code in a very formulaic way which conveys almost no intuition or understanding of the subject matter. However, the labs a pretty good.

This course is different from the first 3 courses in this specialization. I only recommend this course to people who have sound knowledge in calculus and some background knowledge in Bayesian Statistics. Personally, the pace of the videos is fast and the instructors use very technical terms. Although the course is not intended to give in-depth explanation into Baysian statistics, how the content is set up tend to be confusing.

This was course #4 of the series. The previous 3 courses were fun. Not so for Bayesian stat. While working out the quizzes and project were at reach, the concept behind several aspects of bayesian remain obscure, at least for me. Instructors are wonderful, they know their stuff, but something was missing as to delivering bayesian stat. Not their fault: bayesian looks like it's a hard core topic to understand and master.

This course has a much steeper learning curve than the first three, and goes from theory to examples in action rather than vice versa. I think the Professors involved are super-smart and more than just qualified, but the teaching method is a noted departure from the first three courses in this series. Think this would work better as two courses. Slow things down a bit, and give more R exercises and examples.

This introduction to Bayesian statistics familiarises you with the fundamental concepts. The difficulty is that the material covered is non-trivial and probably cannot be squeezed into the time allocated. Is is very difficult to follow the lectures and not getting lost. Thus, you need to take lot of time and maybe complement this course additional ones in order to understand the material and profit from it.

This course delved too deep in the math that were not always explained as good as the other courses in this specialization. Really liked the prof from the other courses (Mine), she really explained well... Didn't like the teaching style of the prof in this course unfortunately. Didn't have a good reference book that we could refer to like the other courses. This was really a pain.

Interesting concepts and some good expositions of subject matter. However, too much of the course is confusing, and there is little attempt to explain intuition behind concepts. In particular, various options for Bayesian regression modelling are introduced, but there is no material about how to decide which tools to use when.

After 3 great courses in this specialization, this one was disappointing. The content just isn't explained well in the videos. The Labs were fine. I'm sorry but the course seemed rushed, and it isn't great marketing for the Bayesian approach. As a consequence, I am now not sure if I want to do the capstone......

I don't think the level of this course is in continuity with the previous three of the specialization. The first average of the classes are as usual, but then the topics become harder and equation-oriented. Less examples are developed and I wasn't able to learn everything as it happened in the previous courses.

I consider that you need to change the scope of this last course. A book or a reading material will help to better understand the concepts.

I'm conscient that Bayesian statistics is more mathematics intensive, but you should find a way to make this course friendlier for beginner students in Bayesian statistics.

I found some of the instructional videos a bit confusing. It was difficult to understand the underlying methodology of some of the concepts explained. I believe the instructors assumed the students had a more rigorous understanding of the underlying calculus than was suggested for this course.

This course might better serve the students by having more intuitive examples shared before the quiz/programming exercises. I think the topic deserves more attention (2 weeks instead of 1) or perhaps offered as part of a series of bayesian courses in a different certification.

I'm not at all confortable with bayesian statistic after completion of course with very good grade. I think course lacks a step by step explanation of some core concepts. Or maybe it should have less concepts. I ended up searching for help outside (youtube, etc).

Very different from the previous courses, this course uses the Bayesian approach to things already covered. The specialists brought in were for some, a little bit hard to follow. More activity on the forum from the organisers would also be much appreciated.

Good breadth of useful information and well intentioned lectures, but this course really needs a companion text and practice questions outside of the quizzes to reach the level of effectiveness of the other courses in the specialization.

I really loved the previous courses because their reading material which was very good complimented by the video lectures, nevertheless, in this course, many of the video lectures was the repetition of the main book.

Course is much harder to follow than previous courses. Due to change of instructors, the notation used wasn't always introduced before and is not explained. Feels rushed if you hadn't previous notions of the subject.

Really hard to follow and finish, especially compared to the other classes in this specialization.

The concepts might be more complex, but the way they're taught also adds to the difficulty, in my opinion.

I think the content is very good, as well as the online book and the supplementary material. But the videos for Weeks 3 and 4 could be better ... In my opinion, they should be longer and more explanatory.

Until the last two weeks, this course was very good. The lectures in the last couple of weeks contained lots of information and not very many examples. The third week, especially, was overwhelming.

Not as good as other courses in this specialization. Most of the times the focus was to teach the method of performing a Bayesian Statistical process rather than teaching the actual concept.

I felt the course ramps up from the basics way too quickly. I didn't like the pacing in the course compared to other courses in the same specialization, although I did learn a lot.

Explanations not simplified as compared to the other courses in the specialisation. Very difficult to comprehend. Instructor should take more time to explain the fundamentals.

I learned a lot but i think the teachers should explain with more examples, the things they explain seem very abstract and i had to look for extra help.

Se trata de explicar términos matemáticamente complejos de una manera muy general y vaga dificultando el entendimiento y el aprendizaje del tema.