Useful couple of modules for helping you get set up with R and Git/GitHub. Really doesn't require a full month to do.

The quizzes were pointless.

Hands-on, comprehensive course about the basic tools you'll use as a R-based Data Scientist. Robotic narration of the videos is a downer though.

The explanation of the course is up to the mark. This course is overall good besides you need to follow other courses of the specialization too.

It was helpful for the beginners who is willing to learn data science and gained a knowledge about Github and other aspects. Thanks for Coursera

Good course that clearly explains basic R & data science concepts. Workload was very light - didn't get to practice or learn as much as I hoped.

This course is great to start with. It provides overview of what is in the course and how should we as students be prepared to learn the course.

it is the best course for beginers who want to learn data science & project, i wanna thanks to john hopkins university to provide this course.

Excellent course. I found it particularly hard in the first two weeks. Practical exercises were intense. Discussion forms really helped out.

Very good in setting up for the next courses. I would like to see more on Git though because I could have definitely understood it a bit better

With my background I found this part of the course rather slow, but I can see why it's necessary for people with less of a software background.

the course is really good, just consider if you like more courses where there is a tutor talking to you maybe you can take a different course.

Computer voice was a little to quick to move on in some portions of the course. Particularly when trying to type code in R Studio or Git Hub.

Nice way to teach but more example related to bio medical please add more example like finance and technology and please check out while study

Liked the course and completed all the quizzes and project. But couldn't submit and earn a certificate because I can't afford to pay the fees.

The course is a real beginner's guide to the world of data science and gives a good introduction to some of the tools used by data scientists.

The course was well laid out and covered the basics of definitions as well as setting up R, RStudio, GitHub and showing how to use RMarkdown.

fast paced and a bit convoluted for an introduction compounded by the computer generated voice. Some of the screenshots are a bit outdated.

I do understand why they used automated videos in order to keep all the material as updated as possible, however it is a strange experience.

It is a good course to get familiar with the basics, however, I would have liked a little more actual content. Week Four I enjoyed the most.

I liked the course as it helped me to understand the basics of R programming including the installation of R studio and linking it to GitHub

Pretty great introductory course on types of data analysis. I can't wait to see how this builds in the future courses of the specialization.

Nice course for Beginners, No complains regarding course material, however there is little bit audio issue in some slides as it is bit low.

Great Course! Overall I would recommend. Had a little bit of trouble b/c I am using a Mac but after a few Google Searches I was on my way!

Great course! I would recommend compressing the audio on the video presentations so it's easier to hear and more consistent in volume level.

A well-rounded course. Nevertheless, the videos must be updated and can create confusion because of newer software interfaces, like GitHub.