Sep 08, 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
Apr 24, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
Jul 03, 2019
I think maybe because I have computer science background, so I think this course is too easy.
Feb 02, 2018
I don't really think that this amount of information should exist as a whole separate course.
by Lucio C•
Aug 09, 2016
Good overview. But it is confusing for the first class when you have no idea about the topic.
by Maciej M•
Feb 18, 2018
some information was interesting but in general I don't think it was crucial for learning R.
by Benny B E•
Aug 01, 2017
If you don't know any thing about data science, good introduction, otherwise a wast of time.
by Yves-André G•
May 27, 2017
A very simple course, focussed on installing the correct tools on your computer to learn R.
by Migdonio G•
Feb 11, 2017
Too little material for 4 weeks. All this could've been written in a PDF instead of videos.
Jul 22, 2016
Overall the course content is good, but the power points are not engaging and interactive.
by Sadanand U•
Aug 19, 2018
Very basic, may be a bit more use cases on Git would have been useful. But that's just me
by Uian S G•
Nov 24, 2017
Few content for an entire course. I think this one could be together with R Programming.
by Andreas L•
Dec 03, 2017
I am aware that this is the introduction to this topic but it was a bit long-drawn-out.
by Juan J E•
Oct 22, 2017
I was already familiar with some content. it was a good starting point for may training
by Craig G•
Jan 27, 2017
A good intro to the tools, but for anyone with prior programming experience unnecessary
by Debanjan D•
May 25, 2019
Okayish course. This course will give you an introduction in RStudio and Data Science.
by João P S•
Sep 07, 2017
Too few activities for the time allocated. I completed this course in 4 periods of 2h.
by Danyal F B•
Jun 08, 2017
I think the project became very confusing since no examples were done in the lectures!
by Seckin D•
May 20, 2016
I think this class is best for academic people. I did not find what i was looking for.
by John Y•
Jul 08, 2017
This could be wrapped into one of the other courses since its just environment setup.
by Ryan C G•
Jan 18, 2017
Pretty simple, the Univ of Michigan Data Science with Python set the bar pretty high.
by Ankush K•
May 31, 2017
A little boring. Necessary if you have ABSOLUTELY no experience with data analysis.
by Drake O N•
Mar 17, 2017
Good starter setup. Looking forward to the technical portion of the Specialization.
by John P•
Aug 24, 2017
peer review was sporadic, had to redo several assignments based on language barrier
by Joao o•
Dec 31, 2019
It`s too introductory. The methodology with an IA voice it`s not comfortable yet.
by Ivan S•
Jan 12, 2016
highly recommended for newbs in any kind of development, otherwise waste of time.
by Sudarshan C•
Jan 08, 2016
The course was very limited, it should have been combined with Introduction to R.