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.

I was very excited about this course, learned a lot. But, it became boring in the middle. Although, it was good considering the reading materials to back me up

It's a little bit boring, since you have to study a lot of toolbox without seeing them in actions for a few days. Best to watch at faster speed x1.25 at least

The tutorial on github was not very clear to me, and the images used during the video and for the reading section were very blurry. Everything else was helpful

A very superficial overview of the main tools used by a data scientist. Recommendation: The course could have more content. The quality of the content is good!

Helps install and set up the necessary software, but does require you to do bit of searching on the web to completely understand certain aspects of the course.

This Course is a great start for the specialization. The course is designed in a very thought manner so as to help a novice understand concepts easily. Thanks!

Nice course, sets you up with the basics for R programming, and sets you up with all the tools. Basic introduction to Git makes it interesting.

Overall, great.

Good introduction into basic data science tools and a nice starting point for the data science specialization. Yet, the certificate is a little bit overpriced.

Good insight to the broad subject of R and analytics, only reservation if the video lectures could have been delivered by some person and not automated voice.