the robotic voice got a bit annoying towards the end of the course, but overall i like the course and found it informative, cant wait to continue with the specialization .

This course is fairly rudimentary, but it does a really nice job of getting you all set up with the tools you'll need to tackle the rest of the Data Science specialization

The part where GitHub, Git and R are connected was very interesting. However, as a fairly experienced R user and scientist, I wish I could have skipped some of the parts.

I found this course to be quite useful, albeit introductory. I kind of was hoping for more material. Nevertheless, for a beginner, I believe it is completely appropiate.

Good start for the beginners especially for people new to the data science. Topic are not covered in depth but as its just a introductory course so its totally fine..

Well explained, step by step instructions on how to install and use the tools

Potential to improve: use more visuals in de instructions (many times now it is only text)

Provides a good overview of what will be learned in the Data Science specialization. Good introduction to the software tools required and how to set them up correctly.

Basic tools for shareing and develop that right now I don´t consider usefull. In the other hand, the content is well explained so right now I new how to use new tools.

I think it did give a bit of an overview but I expected a little more stuff on actual Data Science and not on how the course actually works...

But good start.

Thank you

Good for getting started, installing the necessary software. Wish github commands and markdown were explained a bit more, but that is likely done in a later course.

A nice survey that you can complete over a weekend if you do it in a concentrated dose. It really is just an introduction, though, and it only scratches the surface.

Started out a bit slow with material that I felt was somewhat extraneous, but then got to the good part (hard part?) of installing R and getting it working with GIT.

This course is good if you have zero background in R and using GitHub. It'll walk you through installing what's necessary and give you basic tips on how to use them.

i am little weak at understanding things when taught for the first time. so understanding and learning about toolbox was little difficult due to the computer voice

It was fine, very technical in detail, but it was useful to learn about Rmarkdown.

I guess it is training from professionals how need linking to github and the like.

Very basic course to just install required tools, so if you're familiar with github and terminal, there's no much sense in it, and you can finish it in couple hours

Gentle introduction to the basics. Delivered on the premise of the course. I would have appreciated more examples and practice questions to drive home the concepts.

Great course however it was not what I was looking for. I am interested in the business management area of data science. This course seems geared towards academics.

Short course that provides the foundation for the rest of the specialization. Helpful even for students who already have some experience with R and/or data science.

The course is well written but the videos are quite monotonous. Assignments are really well. Overall a good experience. Moving towards the next course. Thank you.

Good introduction course! Really comprehensive -- which is really great, but parts of it can be too advanced so there are times when it's kind of hard to catch up!

The lessons were very informative and well organized. I only wish the audio were louder for some of the videos from Jeff Leek. Other than that, excellent course.

The topic covered in "Data Science toolbox" section covers the basics of data science, Installation of R. RStudio and Git.

It is nicely done and easy to follow.

I had prior limited knowledge of R and 'old' use of Git/Hub but this course offered a fast-track to refresh those skills in preparation for subsequent R courses.