I am trying to work out whether or not to get into data science, I thought this would help but still undecided.

I liked the grounding of principles, tools and methods required for the discipline.

The course can use more visuals instead of videos of the face of the instructor. It can also use more interactive examples as this is a more executive view instead of having scholar examples.

Was actually expecting more.

Some of the lectures seemed just to theoretical and distant.

Several of the linked resources do not exist anymore or are accessible only with paid subscriptions.

Great course for somebody who does not know anything about data science. When doing this specialisation there should be credit for those that did the other data science specialisation

Very basic course. If you know about data science, data analysis, or machine learning, you may find this class basic or boring. Good intro course for those who have no prior knowledge

Interesting course but structure was a bit odd I thought, it was not clear why so much time was devoted at the outset to the difference between Machine Learning and data science.

not bad but not good enough for showing examples like data visualization and how to build the mind of data science for several fields (finance, marketing, sales and so on)

I felt that the content of this course was too little. It should go one level deeper and explain the challenges that managers may face when handling data science projects.

The material and lectures are good but the quizes are not very helpful and somewhat random (in answers). The small number of questions make them very unforgiving.

A bit too lengthy for the points to be learnt. Can get more done in less time and fuss. Too many examples especially if one wishes to cover 100% of the material.

Good course, with general and not over-detailed explanations of all the relevant topics in data Science. A good, general overview definitively worth working on.

Pretty high level and quick. Hoping the remaining courses in the specialization give more depth. (Completed this course in an afternoon.)

Lectures were fairly straightforward but not really that exciting and the lecturers sometimes felt a little unprepared or underwhelming.

Interesting course and good learning. However for me some of the video lectures were a little bit unstructured and difficult to follow.

The quality of audio wasn't amazing. Get yourselves better mikes, guys. The language was not properly graded for the beginner's level.

A lot of the topic is described in a difficult way using unknown words(for a beginner) and with examples that I did not understand.

Pretty basic course. Good if you are completely new to the space. There are good references to tools for further investigation.

Nice overview for those of us unschooled in the language. Syntax of the notes and text is in need of major editing-proofreading.

the course must be more explanatory and the professors should not speak so fast. let us understand things. It takes time.

Very preliminary, most of the course don't have a PPT or handout. May be helpful if you know very few about data science.

It's a nice to starting course, thanks for the effort on developing and keep updating with new cases, tools and info.

ok introduction if you have no background in DS.

if you have experience, take the quizes first, its pretty basic.

Would have been better if quiz access is available for free so that it is easier to reinforce concepts learnt.

I know its a crash course, but probably need to be less general management stuff and more on data science

Really basic course. Not needed for people you have already done data science specialization in coursera