Would like to have simpler examples to understand some of the concepts.

It was quite hard with all the statistical jargon. Too much theory.

C​urso entretenido, aunque algo ligero en la parte conceptual.

This class has more useful materials than previous ones.

Relevant materials, but lecture delivery is rather dry,

Sometimes it was hard to understand what's going on.

The material is too long and boring.

Too short, too expensive.

Technical vocabulary

Very Good Content

Good

The lecturer seems afraid of the camera and the feedback on the quizzes should be better. Also, the summary readings should have all the information in the presentations, so you can check up everything more easily in one place.

This course for me was the most difficult to understand. Using as example situations with health area was hard to understand how I can apply in my case. But in general, the other courses were very nice for me.

OK content but delivery could be better. Also poor value for money (you pay 49$ for a course you can finish in a few days) versus other Coursera courses that get you much more bang for your buck.

worst course in executive data science specialization, hard to understand concept. specific examples on health researchs are not common to understand

The content was redundant at times, at other the dots that were trying to be connected were to wide apart on the spectrum

I expected this course to be more practical and with more business example

It is good but demands statistics and some knowledge in research area.

Too qualitative, I would had liked some hands-on examples.

Not that engaging content.Too much theoretical approach.

Too much focus on technicalities - not management based.

The content and examples seem irrelevant.

very boring videos.

The course tests are at times partially unrelated to the content of the lessons. In the test of Lesson 7 we are asked if removing jargon from an analysis makes the analysis clearer. This is never mentioned in the course.

The question does not have a unique yes/no solution. It depends on the context, in particular on the audience of the analysis and report. If I'm talking to technical people who knows a lot about the topic jargon can be useful, on the other hand if jargon is not documented it can be confusing.

How are we supposed to know this?

This is just one example, but all the courses of the EDS specialisation had these issues. I don't know if it is a language barrier or what but I feel that I didn't have a chance to study more to get a better score. You either happen to have the same idea of the teacher or you don't, and this is not professional.

The course content is good, but there were no instructions how to complete the capstone in order to obtain a certifiate. This was really disappointing after completing the course work. Eventually, I just stopped my subscription.