A great introduction to the world of data science. This course gives a good foundation of what is expected as a data scientist and the tools required to complete task!

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

The R credentials have been changed for pushing from Rstudio to GitHub, but the information in the course hasn't been updated yet, which will cause the push failure.

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.

Objectives are realistic and achieved at the end of the course. The time table could be improved, 4 weeks for completing the class seems too much. Maybe 2 weeks?

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.

The course was very helpful and instructions were concise and easy to understand. Great for those fumbling around to scour the net for which tools to start with.

A very good introductory course, However it requires a lot of personal research and reading to master the area, I believe more video excercises would be useful.