Great course. Difficult to apprehend sometimes as the Frequentist paradigm is learned first but once you get it, it is really amazing to see the believe update in action with data.
I like this course a lot. Explanations are clear and much of the (unnecessarily heavyweight) maths is glossed over. I particularly liked the sections on Bayesian model selection.
автор: Natalie R•
This course, compared to the others in the specialization, was a bit of a mess. The lectures were hard to follow with fewer exercises to check your learning than in previous courses. The "text" seemed to just be a bad transcript of the lectures with all sorts of errors. The labs were confusing and sometimes included incorrect or outdated instructions that caused me to waste a lot of extra time trying to figure out what was wrong. I enjoyed doing the final project, though, and learned a lot doing that.
The course presents interesting material but it is not easy to follow. It is a huge jump from the previous courses and requires far more hours to understand all the (math-heavy) material than the stated. The slides feel a bit chaotic and the language/sentences during the explanations could be much simpler. At times it feels that the instructors limit themselves to reading formulas one after another, making it hard to find a connection between them and how they are applied.
автор: Duane S•
This course makes a valiant effort to provide as much coverage of Bayesian statistical methods as the prior three courses in the "Statistics in R" specialization do for Frequentist statistical methods, but the lack of supporting material (e.g. reading/text exercises directly paired with each lesson) really hampers this. The videos are quite informative, but if you don't catch on to the material based strictly on the videos, the weekly quizzes can be a bit frustrating.
автор: Sarthak R•
This course is far different from others in the series. Mathematical formulas and other concepts are introduced without any prior background. Even if the concept is understood the application part of it still remains a mystery on where to apply it, the course could have been more elaborate explaining these concepts in-depth rather than introducing without any prior background. Words such as prior families are used without introducing them properly.
автор: Matt H•
Disappointing drop in quality compared to previous courses in the specialisation. Lectures are just a verbatim copy of the accompanying book, with no additional context, and course assignments/quizzes expect you to know material not covered in the course (e.g. while working on a quiz, I would go back to the textbook, CTRL+F on key terms from the quiz questions, only for them not to be anywhere in the course material).
автор: Gustavo L•
This course was by far the hardest one of the series and I felt lost numerous times. The video lectures are brief and in my opinion bring more questions than answers. I am not sure about other students but I feel that this course needed 1- much more R-exercises. 2- many more examples per lecture for example, it could be better explored the lessons learned with multiple question quizzes.
автор: Kateryna M•
I think that some of the lectures in this unit are not constructed as well and clear as in previous units. This makes it harder to learn. I needed way more time than it is specified in the course to process and understand the course material. However, in the previous units I did not experience such issues
автор: Lucie L•
This course clearly has come ambition to cover important topics on bayesian statistics, however, probably due to time limit, the lecturers have to skim through the contents without further, sometimes necessary explanations. As a result, the lectures are difficult to follow.
автор: Xiaoping L•
The professors know what they are doing but not good at making the concepts plain to the students who don't have the strong background. Most of the times I would just ask myself why they did this and that but later they don't provide enough explanations.
автор: Maurizio S•
Bayesian statistics is hard, I get it. This is another reason not to throw a huge amount of concepts on students, with no explanations, nor any sense. I had to study Bayesian Statistics by myself, and out of this course. Please correct this issue.
автор: Omar S•
The instructors are not interactive at all, they are reading directly, it's very boring specially for first week, the instructor overlook most important issues and doesn't highlight them, however the reading material is useful.
автор: David O P•
Although the course is high quality, unless the other units, this one is way too difficult. The fact that it wasn't Mine who performed the whole course impacts significantly
автор: Joseph K•
I would've saved a lot of time by knowing the R commands used in this course. It took so long to figure out things and I I didn't like the course because of that.
автор: Thomas P•
Mismatch between assessment and course content. After not being able to pass the assessment, I've fallen behind on the course and I'm too busy to catch up.
автор: Haochen Z•
After Week 2, there are large gaps between previous material and the futher teaching material which makes confusing and a bit hard to comprehend.
I was following the courses very well until I got to this. I had trouble understanding almost all parts of this one:/
автор: Matti H•
Good introduction to Bayesian concepts, but the course would benefit of some rethought of design of exercises.
автор: Wei C C•
The materials and response from the organization are unavailable for a while and never get an answer
good stuff but extremely hard to follow, not engaging at all. lecturer reads off the slides.
автор: sandhya r•
A bit complicated compared to the other courses as part of the specialization
автор: CHIDI O•
Poor lectures. Please look at the feedbacks on this given in the forums
автор: KA C W•
Too Fast. Video is too short and spend a lot of time in the summary.
автор: Juhong P•
Too difficult to catch up each week.
автор: George L•
Very theoretical and unstructured