It is a bit too fast for the beginner students to fully grasp the idea. I mean of course, the topics of methodology looks fairly straight forward but the explanation and example used in those topics are not explained in detail.

The methodology presented is useful, and can be a good reference for those new to the subject. However, it is not always clearly explained, and as in previous courses too many technical terms are employed without definitions.

The sites have changed so following the directions of this course were very confusing and hard to understand. The update from Data Science Experience to IBM Watson studio did not relate to the video demonstrated in this class

The final assignment had me ham strung. You are supposed to do each of the 10 steps at the end, with very little guidance on HOW. The there are specific methods shown but what if they don't fit your final assignment example?

I feel that the course is not vary interactive and in some cases it seems to be more like a commentary than an interactive session. Due to that its difficult to understand the basics of some of the important concepts.

Jargon was used interchangeably and material was not presented clearly as to what stage it belonged in (data understanding vs data prep and what could be done at each step. Similarly with the types of analysis. ) .

Not as engaging as previous courses. Feels like too much concentration on the healthcare case study, rather than the concepts. More of the key points should be on the slides (for the visual learners among us...)

No hay suficiente información y el "instructor" no es el mejor en esta sección. En general este apartado fue muy aburrido pero no por el material sino por el tipo de videos sin instructor y solo diapositivas.

The delivery is so dull.

The slides are not enough attracting and sometimes contain a lot of information.

Quizzes are so accessible to the point that you don't need to listen to the course.

Absence of practice.

I really like the methodology proposed and introduced in this course. However, the whole idea can be summarized in less than 2 pages, which should be a section (a week) in a data science course (~13 weeks).

Videos get a bit boring. I would prefer less videos and more reading about the methodology. I google IBM Data Science Methodology and got more useful information. Why pay for a course that can be Googled?

Case study should have been on simpler example / general topic which everybody would understand or correlate easily. Medical field terminologies / relations would be a black box for most of them

i believe the content is targeting more experienced audience, along the course it was bit hard to keep track of all information and the final assessment also aimed for higher level of knowledge

Complicate course with poor valuation system. It contains a lot of basic information but without detail clarifications. I read external resources for a complex understanding of the material.

The peer review system is just awful. It takes ages to get graded/be able to grade others and the peers might not demonstrate language level required for grading an essay-type assignment.

"Ungraded external tools" are not avaliable. For me, the applied example using medicine was hard to follow. Perhaps something less complicated could help explain better the problem.

Too theoretical and the medical example was such a bad, hard to follow one for the course!

It could be content for one week instead of making it to a full-length 3-week session.

Well, I would say this course has been disappointing so far. I hope it gets better soon. Otherwise, this will be the worst online course I have ever taken in my entire life,

It is a bit too basic and vague. The methodology they propose and the supportive material is useful and interesting bur there are many gaps on the hands-on training.

The course is quite theoretical, I would appreciate more reading material. I don't think that the best way to explain the concepts are by using video lessons.

The quizzes focus too much on the nitty gritty details of the case study, so it is easy to get lost in that and forget the big picture of the methodology.

The videos were very monotonous and frankly quite boring. The content was clearly delivered, but the assignments did not reinforce what was being taught.

The course is interesting but I don't like robotic teaching. I think is missing some human interaction like other coursera courses I've done where you

poorly explained. Exam answers when answered, sometimes it gives you true answer and sometimes wrong answer even though i gave the right answer.

The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.