Lots of information. I learned quite a lot. It was a nice and informative introduction to Data Science in all aspects technically and theoretically.

The course in as much as it was an introduction to Data Science really challenged my thinking and introduced me to new concepts I was not aware of.

Interesante introducción, quedas con el entorno listo para iniciar el aprendizaje. Se hecha un poco de menos un humano en las clases pero está bien

This is a mere course on installing all the necessary tools and setting your environment, so the explanations are short lived and practice is null.

Gives you the basics of how to use R and it's different file sharing platforms, is very useful when completing a project with various contributors

Good overview, I appreciated that the course gets you set up and makes you prove it. More command line and RStudio simple exercises would be nice.

coursers are well explained.some of the topics are not explained .i request you to provide links to study the topics which are briefly explained.

I've just started this course, that's why my rating is 4/5. But I'm very satisfied with the video lecture, and I find it very interesting so far.

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.