I found this to be a good way to be introduced to R programming. This taste of what's to come solidified that data science and/or data analysis is the career path for me.

Best in all opinion to learn R in such a planned order ...Thank you Coursera and John Hopkins and definitely a big thanks to Prof. Roger D Peng, Jeff Leek and Brain Caffo

The data used for assignments are real world examples which makes the programming interesting. It would be helpful if the course provides sources for some other databases

This course really helps me to learn R programming from the beginning. I am very much thankful to coursera to provide me such a platform, where I can learn data science.

The course is very good. I had learned it as a part of my graduate program and with this four weeks, I learned much more than what I knew and used in one year. Thank you

Nice introduction to R language.

Because one thing can done by several way, and after learning about different methods, in beginning it's becoming confusing what to use.

I really enjoy it although it is tough for a begginer specially the assigments but there is help in the internet and the forum so it is fun and good to learn thanks lot

This course develop a solid foundation unto the famous R software. Easy to follow, yet in-depth, it is adequate for anyone willing to get a better grasp on the subject.

It was a great experience, the best course ever and the best materials, even when I had no time I downloaded the course and studied it, coursera is the best place ever!

It was a wonderful experience. I have learnt and enjoyed the course throughout the duration. The assignments were also interesting and focused a lot on the fundamentals

Excellent course curriculum by John Hopkin University. Also thanks to Coursera for providing me with such an excellent chance of enriching my knowledge of this subject.

NIce course and good exercises. I'd suggest better and more explanation on scoping rules and examples on updating global variables in a loop or a local section. Thanks!

A great series of introductory courses to R programming, data science and statistics. I enjoyed taking about 6 of the 8 of these courses before I had to take a break.

R Programming is a good, dicdatic and comprehensive course on R. It teaches you how to perform the main operations, subset objects, write functions and deal with data.

I was using R in my thesis but back then I did not understand well the R as a language. This course provide me the basic and intermediate skill to do programming in R.

Very satisfied with the course layout and material. The opportunity to learn both through videos and through Swirl assignments is very helpful for reinforcing lessons.

This is a crash course into R-Programming. If you have never did any programming this course will be a challenge! But it is a good way to get going with R-programming.

This is a very good introduction to R. The material is good and this works well as a introduction to R if you have either high interest or some programming experience.

This is a very well organized course. Thanks to Dr. Peng, Dr. Leek and Dr. Caffo for organizing such a useful course. These lessons will stay with me for a long time.

Worth it. The final assignment was a great challenge, the course seems to cover some good concepts of R, and provide a good base for those looking to learn even more.

Learnt a lot in R especially Lexical Scoping, Datatypes, vector operations, loops and apply commands. I would recommend this course to all my friends and colleagues.

Good course to start off your R Journey. It is guided and has enough validation mechanisms to reinforce your learning. Thanks John Hopkins Team to put this together.

The course provides a good explanation on important concepts of R and the assignments are designed well to hone the Programming Skills needed to tread Datascience.

A systematic learning journey of programming, a very new area for me, still need to improve confidence with more practice on this subject. Thank you to all of you.

Very good introduction to programming in the R language. Programming assignments were fun and structured very well to reflect the concepts learnt from the lessons.