This course was good but the way of information and there should me more lectures and more detail study notes for this

The least interactive course to throw money at. The teachers used very conventional and un-interactive ways to teach.

too basic, the 4 courses of this specialization could be just one course.

Was a very broad review than was expecting.Content covered is too less

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

Very short. Quality of the course is also not that good.

too much lingo and words without clear definition.

1-week does not seem enough for a Crash Course

Not that engaging content. bit lengthy

This course is too short.

Overly academic

Very shallow

Hard.

Quite disappointed. While I expected a high-level summary, anybody who has done basic stats in school probably knows 90% of the superficial level of information in this course. Buzzwords like "neural networks" and "random forests" appear during the course, but without even a high-level explanation of what those are. The lectures are pretty low-quality in terms of content and presentation. The most informative portion would the comparison of Machine Learning to Traditional Stats. The quizzes are pretty simple (with some common sense you could probably pass a lot of them without going through the content of the course). Completed the course in one sitting, in about a third of the time estimated on the enrollment page.

There is an error in a question in one quiz. I have tried selecting each answer multiple times, and the response still comes up wrong. This is preventing me from completing the course, and the certificate, which I need to complete for work.

The course, though fascinating, the only setback is the certification does not approve the learner being taught from JHU or certification being authentic which is per the information it conveys.

No incentive therefore continuing with it.

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.

I struggled thru. Barely. This is no joke. Course description should state that minimum knowledge should have some statistic background or something like that.

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

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

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

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

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

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

Un-reliable platform. Make screen shots of all completed quizzes