The example provided was not good at all to follow on the concepts. i had a hard time following up with the video since very little time was spent on each concept.

The discussions were too introductory. This would be acceptable had there been links to resources which provided more detailed information on this important topic.

The final assignment is not clear

Data preparation and modeling quite confusing for someone with no prior knowledge in data manipulation and statistical background

COurse provides some initial theoretical information but the practical exercises are ofno use. Proper schedule of practical be followed and the instructions for

Its an important topic for data scientists, but wish it was taught in a more interesting way with multiple examples of different types instead of one case study.

Very short and filled with too much jargons. A much simpler case study would have been great instead of deep diving into the world of Life Science & Healthcare

I found the material here vague and difficult to follow at times. Which led to confusion particularly about what was expected with the peer graded assignment.

Well, when the previous courses in the specialization were a total waste of time, this one is adequate, but still not very usefull for data science itself.

The speaking is too fast and the slides don't help much to follow up the explanation. I found it is better just to read the transcript at my own pace :-)

Better problems (more generalized and relatable) could have been used to describe and make the modules understand better. Not satisfied with this course.

Teaches what it's supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation

The way of teaching was good but i had some issues with marking system. I also reported the issue. But i think learning experience was great to me.

This information is replicated and immersed in the workplace of a data science expert.

In my opinion, there was no need to attend a separate course.

Questions asked during the course videos were repetitive and three of them could not be submitted due to some error, despite trying multiple times.

It's good but I think the case study is not easy to understand and another case study must be included which easily makes you understand this topic

Course was ok. It's difficult to formalize data science into a generic methodology where subject matter expertise is separated from the process.

IBM Developer Skills Network tool is a complete disaster, spending more time trying to get what should have been a PDF than actually studying...

the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic.

D.S Pedro

The topic is super important and interesting. The content of the course was a bit hard to follow. More real-life examples may have helped.

The examples used were poor and the definitions of each stage were not concrete, workable definitions but rather very abstract definitions.

I guess it is a good course for someone who has never taken any research methods. But having a PhD this course was quite useless for me.

i think some concepts should be more explained. I got confused with the technical language of the course. More definitions could help

The example/s (with all due respect to the good knowledge of the author) could be improvised, however

overall, an excellent course!

I think it's a little bit vain to introduce in such way for some people without much background in statistics and machine learning .

Хороший курс, но я не могу скачать свой сертификат. Обидно, потому что прошёл все задания, но значок не светится в личном кабинете