The course is very preliminary. I think more programming should be thought in this course. It's just very theoritical.

Content is great for an absolute beginner. For anyone on the intermediate end of the spectrum it will seem very basic.

Quite basic - but good overview of general theory. Don't do this on its own, it's quite useless as a standalone module

its just an introduction to R please make it more explanation to R even if there course about it

and thanks very much

The course accomplished its goal. Nevertheless, since it is a paid course I expected to find more theoretical content

very helpful but i think it is too short, i need some more concepts to fully understand what these tools used for

Lots of very general review information, not much new stuff. Did force me to start getting familiar with gitHub.

Super basic and boring stuff. Mostly talks about R Studio and GIT. Not of much help to those with IT experience.

the voice is too low and the level of instructing are not for beginners, but with a lot of effort you could pass

Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.

Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!

Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p

There is practically nothing in this course to learn. It can be termed as a introduction to the specialization

The course is too easy to be called a course. Just an easy intro, which you can complete in a couple of days.

Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.

Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.

It is good for those who are looking what is data science and how to install R and Github and how they work.

A little more depth on R and R studio and the rest and more data driven projects would have been appreciated

Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.

The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.

Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.

Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.

It was great to know new terms and tools used in data science. However, the course is mostly theoretical.

Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.

It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.