Basic introduction to the tools that will be adopted in the Data Science. I do hope there would be more information regarding Hadoop, Python, SQL, etc.

As it is a very technical to set everything and to start working on it but the mentor have tried to make it easy. For a beginor it can be challenging.

Informative, but course did not provide exact information needed to complete the assignment without additional research (unless that was the purpose).

Although I am vey much satisfied with this course but i felt a little low during the slides for explanation of types of data science .

Rest was superb.

Pretty light weight so far, but I certainly understand it's targeted at a broad range of people so the vanilla material is probably a chore for some.

This is a clear introductory course, but the content is not as much as expected. Compared with other coursera course, this one is like one-week pack.

The course is well structured but I still prefer that students new to this must read from other sources as well to completely understand the topics.

Good and easy introductory course. Finished it in about 3 hours total - don't expect this to be the pace for the rest of the specialization, though!

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

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.