I think the project became very confusing since no examples were done in the lectures!

I think this class is best for academic people. I did not find what i was looking for.

This could be wrapped into one of the other courses since its just environment setup.

Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.

A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.

Good starter setup. Looking forward to the technical portion of the Specialization.

peer review was sporadic, had to redo several assignments based on language barrier

It`s too introductory. The methodology with an IA voice it`s not comfortable yet.

highly recommended for newbs in any kind of development, otherwise waste of time.

The course was very limited, it should have been combined with Introduction to R.

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

Not a lot of good information. Just introducing you to the programs being used.

all the content of the course could be a week of some course of specialiazation

Too simple and most contents are overlapped (already covered) in other sessions

Upgrade to submit? That's meaningless. Especially for this fundamental course.

It was good as an introduction , meanwhile its contents are little for 4 weeks

It's way to easy to be a separate course. It should be part of R Programming.

This first toolbox module is all about setting up. Not much programming yet.

Decent overview, gave me some things to google. No real substance as of yet.

I think this course needs to be much better in terms of adding more material

Good overview. Helpful introduction to topics covered in the specialization.

A good Introductory lesson, but for advanced students it is not nessesarry!

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

A little bite long regarding the concepts number developped in this course.

Easy course. Everything covered in this course can be found easily online.