Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!
"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!
By Sri G A D R S M & C S•
A very good course on R programming. I would say if you are new to R and programing this is going to be very difficult and you need to spend a lot a time support material. The assignments are not jus the lecture session and need additional effort and reading. But I loved and enjoyed the course
By Debdutta R•
I liked the course very much because Mr Peng has given me very good grounding of the basics of R. I wish to keep learning more about R because this course has certainly motivated me enough to pursue the next course on R. Thanks team for having me as a participant. All the best to Mr Peng :-)
By Aaditya D•
The course is good!! The interactive swirl tutorials were helpful. Being a fresher in R programming the programming assignments in this course were considerably tough and I think you should provide some sort of hints or programming insights for the freshers to get help when they are stuck.
By Syed M Z H K•
It was an amazing course as it helped me in improving my concepts, especially through swirl exercises. they were just amazing. Thanks a lot Coursera for granting me this scholarship (fee waiver), as because of you guys I am able to learn such awesome skills which I cant afford to pay for.
By Marc T•
Although I did not take the course as part of a certificate program, I was able to learn a lot about R and to apply it to a project for my work. I see R as both a useful tool to automate routine data analysis as well as a terrific "what if" environment for doing on-the-fly data analysis.
By Anshu U•
Very challenging - you learn plenty from the lectures, but you may also need to do a whole lot of googling to solve the programming assignments. (This may be intentional? Learning how to use google, stackoverflow, etc. to search for help does seem to be a key component of programming...)
By David S•
I'd like to see more interactive in course videos, such as showing debug, functions demo in R studio. That will give better understandings. And for explaining functions such as Apply, tapply, better to use a small set of data, 3x3, 9x9 matrix would be easier to understand the concept.
By Bruno R S•
This course is quite difficult for someone starting on programming, however, the instructors provided a great deal of resources to help the students. So it is worth the challenge. Even the experienced in other programming languages may benefit. It is a true "From novice to professional".
I learned so much in this course (especially considering the amount of time I put into it). I was really impressed with the quality and content of the course (SWIRL exercises, videos, and the week 4 programming assignment all went a long way toward growing my skills as a data scientist).
By Victor G F•
Wonderful experience! This is the first time that I enrolled in an online course. I'm very surprise with the quality of videos and the structure of the course. Congratulations to all members of the Johns Hopkins's team, I hope to complete the full program of Data Science specialization.
By Achuthan R V•
Fantastic course! I thoroughly enjoyed the assignments (which were of reasonable difficulty), but my most favourite takeaways were the fundamentals - variable scoping, subsetting and data types. I would have liked some modules on ggplot as well alongside the base graphics introduction.
By Jinyuan L•
R Programming is a really fascinating course where you can see award-winning lecturers from Johns Hopkins university teaching useful analytical tools and sophisticated models. I cannot imagine how much I've learned after the enrollment. Great School! Great Class! Recommend to everyone!
By Diógenes C F G•
Very good and structured introduction to R. The use of the swirl package is great for learnint. The assignments are more difficult than expected, but still in a tolerable level. You stomp into many things you didn't learn, but can easily look up for in Stack Overflow or another forum.
By Seda R•
A challenging but fulfilling course. The course materials are helpful, well structured, clear, and concise. Still, they do not cover the entire scope of the excercises/assessment - Google is your friend. Found having an introductory background to R before taking this course helpful.
By Roopa M•
R programming is thought really well, also they have some of the best programming assignments when it comes to ensuring that the students really understand the data. Best topics include debugging code, best practices and also profiling code to understand how optimized ones code is.
By Shounak S•
The course material was top notch in terms of teaching the basics. The examples were great too. In terms of cons, there could have been a little more hints for some of the programming assignments especially assignment 3 when it comes to a complete R newbie. Otherwise, great course.
By G.Subramanian k•
I have completed only first week while providing the review, Professor has made very complex contents very simple, which he would have learned through years in a organized manner , I appreciate the SWIRL package which helps to provide a hands on with a guided tour ... Thanks ......
By Muneeb S•
The course was well structured and well explained by the lecturer. The best feature of this course was to practice concepts learned in lecture material using the swirl library. Programming assignments were good enough to give me the confidence to take on any challenging R Project.
By Debjit C•
This course is tough! But then we don't really learn anything until we are tested on our limitations. The R Programming course has made me realize the potential of R language is analyzing data. I am really very excited and very satisfied with the way I have learnt in this course.
By Felix B•
Excellent Program. Lots of applications. Caution: "What you put is what you get"
You put lots of effort, then you learn a lot. Don't expect yourself to be fed with all the information, you also have to do your additional research.
This is course is not for the "bottlefed" students.
By Ilian A•
This is simply a great course.
Well pased and full of information.
The instructor is easy to understand and makes a good job introducing the language.
Prepare yourself though - it is quite a lot of material. Allow yourself to "fail" at some point as you can take the course again.
By Sundara R V S•
Very Interesting. I am a Management student. I want to know the Basics of R programming, This helped me in the better way. This is not for an Advance level, Simply basics and easy to learn. I would say , Before start advance R programming everyone should enroll this course.
By Pierre M•
Super satisfied with this course! Lecture videos are top quality, the PDF is available which makes studying and going back to the material more easy. The swirl programming lectures are very well done. I learnt more than I expected, quicker than I thought I would! Thumbs up!
By Yuan L•
The materials are very comprehensive which provide a good start point to dive into a more detailed level. The lecture videos are a bit abstract. Some walkthroughs with real-world projects would make this course more interesting and engaging. Overall, I highly recommend it.
By Manikanda P M•
Excellent course for beginners to learn R basics(As I already know some R programming it was easy and gave many informations inaddition to it) and can find more insights in the fields of statistics and usage of R programming for data analysis and much more...Thank you all