1-week does not seem enough for a Crash Course

Too much Superficial. Too fewer quizes. More external videos about hadoop, python, spark, data lakes. More paradigms broken. Need to explain what is On premise, rent and cloud.

Overly academic

Ref: "A Crash Course in Data Science" the content could be presented in a simpler way. Some of the presentations sounds little vague and conceptual level like an Advanced Math or, Statistics class. I am wondering since this is an Executive program, is there a simpler and easy to grasp way to present the material. The text download files (i.e. txt) document descriptions needs to be more clearer. The Power Point downloads are excellent and are to the point.

Very general course. Doesn't give much insight into data science.

They could have stated the audience of the course more clearly. I found most of the information irrelevant that added little value. Most of the things discussed are generic and would apply to any project.

very elementary. Takes approximately 2 hours to complete.

cannot continue with the in-dept material but have to wait until next week (and payment ofcourse).

The only reason this course is two stars is because the content could be useful to a beginner in the field. The course itself, however, is of poor quality with un-engaging video content and an unedited book with multiple sections that are clearly derived verbatim from the sub-par video lectures. It could be drastically improved with a little effort and would hopefully provide more value to learners with genuine interest.

not worth it

It would be great if slides were prepared and used through out the videos....

I was looking for something a little but more technical...

Only one week. Not much depth.

It's too short, I think it should be a part of a course and not a course itself.

It is a repetition of concepts and examples from other courses by john hopkins univ.

Too theoretical.

it's a shame to split a one month course to four.

Very basic, for absolute beginners/ managers completely new to data (let alone data science)

This course is very sparse on details, and just a week of content. The lecturer is not the best at explaining concepts.

Quiz should be open to all students... :/

All the course content is too basic to bother with. It’s just a bunch of common sense and a few definitions of vocabulary words that can already be found on Wikipedia. There is typically one page of reading stating basic definitions and intuitive ideas followed by a 10-15 minute video reiterating those basic ideas. For example, there is an entire unit just to explain that a report on a data science experiment should be clearly written, avoid unnecessary detail, and have concise conclusions. There is a page of reading to list these as bullet points and a 14 minute video to repeat these points.

This course is a waste of time. Thankfully, it’s short and free.

No much information presented. Disappointed that this comes from John Hopkins.

too general

Too short to get any depth of information. Too expensive for the content provided.

Thanks

boring

A little devoid of depth.

Boring and useless course.....