An easier and more relatable case study would exponentially increase understanding. The present one had complex medical terms and added a layer of complexity to the course.

It was very theoretical and, at times, a little boring as well. I was hoping for more of a hands on experience. But it was definitely very instructive and educational.

Since we are following a track, the previous two courses were basic and in this course we came across to lot of data science terminology without proper introduction.

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

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.

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

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 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.

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 .

the narrator is speaking fastly as i can't understand that with this high rate words with my little english experience in listening

Some of the lectures were not very clear. This grading is based on a comparison with other courses in this specialization.

For me this part was a little too much descriptive and given example (hospital patients) is not very easy to understand

Hi Dear Team ,

I thinks this course need more clarification and more details and examples.

Thank you fro your effort.

Very generic and superficial explanations. Needs more substance. The best thing was the explanation of the ROC curve.

This course is more theoretical than practical which kinda makes this course a little boring then the other courses.

This course was more organized the others, however, it needs to provide its student with more definitions

It was ok. Definitely one of the weakest of the cert. Instructions were vague for the final assignment.