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.

I felt that the speakers used an awful lot of words to say very few things - they could reduce the length of this course by about 50% if they were more concise and too the point. Also, it would help if they had microphones as it would improve the sound quality. They should also tidy up the background, e.g. wipe unrelated text from the chalkboard, and remove clutter from behind them.

Came in with high expectations, but the content didn't meet them. Some of the videos have poor audio/video quality, read out dry definitions that are not very relevant. The lecture notes and video content contain factual mistakes (section of software is filled with errors) and confuse the notion of machine learning with data science throughout.

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.

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.

Not very complete, also you need some knowledge of the field already otherwise you will be left in the dark at certain moments. Not a very consistent course. I expected better

Too theoretical, e.g, comparison between statistics and ML is not at all useful. Too many quizzes after very short classes and on topics of absolutely generic things.

Good intent but poor execution. Tries to summarize all the major topics but ends up delivering a totally disjointed, cut-and-paste experience with no real flow.

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).

At some places, one lesson had the text and the next lesson was redundant with part of the information on video. you could club them in one an

Too simplistic for me but maybe just right for someone that has never taken a computer science course or used a computer before.

The teacher knows quite well, but not suitable for beginners. This course is for someone who is already an expert in this field.

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