Clear video lectures, all presentation files are provided and kept up to date. Swirl is particularly useful. What is missing to my taste is more reading recommendation, not only the books from the instructors. Otherwise, I think it is a good course to start with R.

I guess this course is part of one of the best Data Science specializations. The lecturers are very knowledgable and they explain extremely good. If you want to learn R in combination with the data science, this specialization is certainly very recommended for you.

This course is an excellent introduction to the R programming language. I enjoyed taking the course and look forward to applying what I have learned. The lectures are very well done and the assignments, especially those in swirl are excellent for applied learning.

The design of this class is the "Hacker Way" as in you will be spending a lot of your time looking up solutions to the problems rather than being given the answers for each assignment. So basically you'll be forced to learn more on your own than any other way :P

It is fast paced, and exercises have always several "possible solutions" but is a quite good introduction to R which even for people with good programing notions require a bit of a mindset change.

Be prepare, R has a lot of potencial and "Libraries" to play with!

Good exercises. While the concepts are presented in lecture, without some discussion my grasp of the material is weak. swirl() helps immensely - the programming exercises are really key for learning the concepts. The discussion groups [TIPS] kept me in the game.

This course provides a good amount of interactive work to help learn programming in R as a beginner. Assignments were difficult but I could complete them and felt accomplished when I did. I would recommend this course to anyone looking for an intro course to R!

It there are videos explaining the assignment in a more fundamental way, it will be better. Sometimes I feel that the assignment is too hard, without proper tutorial.

Regardless, it is an excellent course that properly explain the fundamental of R programming

This course was excellent. I have programmed in other languages and never got such a headstart. The instructors provide an R package to help you through the topics that is just optional, but is actually the real asset to learn the practice of R programming.

Assumes no prior knowledge, definitely helps if you do, but the course teaches you from scratch, at a quick pace. The videos do have links where you can find more reading material, when needed, although highly recommended. Best money I could have invested.

tutorial contents suit the first timer very well, ofcourse i used the R-programming book for further reading but the contents in this course suited my speed and awareness.. was able to learn R very effectively, specially the swirl was very good experience.

Great course to get your feet wet. As a complete beginner to R with a very small amount of prior programming experience, the programming assignments took me around 4-8 hours each. The swirl() exercises were very helpful in reinforcing lecture information.

This course was well-structured and very useful! I have only been programming in R for a few months and I found this very informative and a great way to learn! I would 100% recommend this course and will be continuing on with other courses in the series.

Really enjoyed this course and found it both challenging and informative. After having taken it, another user's advice seems appropriate: Watch the lectures, but reserve your time for the assignments. They can be tough, but that's really where you learn.

Great course! It is the second course of the Data Science Specialisation I have finished so far, and I really enjoy how it goes. However, in my option, some assignments lack clear instructions, what still does not prevent students to complete the course.

Great introduction to R programming. Much more rigorous than other primer courses. The quizzes and project really make you think, and you feel like you accomplished something at the end. I would highly recommend this course to anyone wanting to learn R.

The course structure is very well crafted. The pace and learning curve goes smoothly although starting third week, you would need external resources for help. You do get to learn a lot about R as a computational language with great hands-on experience.

Excellent and challenging introduction to programming in R. Plenty of materials to help you along the way and the course is delivered at a reasonable pace in a friendly and clear manner. Would highly recommend if you want to get into programming in R.

Excellent course, it is my first time in R programming, and with this swirl package I learned a lot, then complete the training with the thinking to complete the assignments that are challenging and are excellent choices since real live is not easy!

Great course as an introduction to R programming. The course provides a base on which I could build upon. I enjoyed the programming assignments which exercised my ability to troubleshoot problems and search for answers on google and stack overflow.

I find the course very interactive. I want to say thank you to the team members of John Hopkins University for their hard work. I always feel pleasure in learning new things and Coursera has given me this opportunity by creating this MOOC platform.

Best course I have completed on R. As a new bee in R language, assignments was really a tough challenge for me. Now I have gained basic understanding of R language and I hope to do an advance course on R as well in future from Coursera. Thank You!

I didn't know anything about R programming before enrolling in this course. The interactive teaching style (swirl exercises) and the relevant assignments contributed so much to my learning. It was a good decision to invest my time on this course.

Very well-taught and well-structured course, with great instruction by Dr. Peng. The programming assignments really helped with the practical aspect of R. Overall, this course is an excellent foundation for the programming aspect of data science!

Such a nice introduction to R Programming! I urge you to take this course if you need essential guides to enhance your coding skills and programmer's mind. Assignments are challenging but rewarding enough to bring you feelings of accomplishments.