Aug 12, 2019
Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.
Feb 03, 2016
"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!
Aug 21, 2017
Great course for someone who hasn't worked with R before. However, a previous programming knowledge in any language is helpful when you seal with the assignments. The course gives you a solid ground for basic R tasks but I wish there is one additional more advanced R course in the specialization.
por Javier N B•
Apr 26, 2017
Great course. I've now a better understanding of R language as the practices and assignments challenged me to think beyond the code. Of course, a lot of good information exists in Google, but the basics given in the course were the basics to understand all that information that is surrounding.
por Jenny L•
Mar 23, 2017
This was a pretty demanding course but in the end, it was so rewarding. I wish it was a little easier though. Also, it took me months to finish due to work and other engagements. I wish I could have stuck with it week over week. I believe that it would've taken less time if I had done that.
por Debdutta R•
Oct 01, 2016
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 :-)
por Syed M Z H K•
Jul 29, 2017
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.
por Marc T•
Dec 18, 2018
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.
por David S•
Jul 05, 2019
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.
por Bruno R d C S•
Jan 07, 2019
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".
por Margaret S•
Oct 22, 2016
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).
por Victor G F•
Jun 29, 2018
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.
por Achuthan R V•
May 14, 2020
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.
Sep 03, 2019
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!
por Diógenes C F G•
Jan 06, 2020
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.
por Hale-Seda R•
May 31, 2020
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.
por Roopa M•
Apr 10, 2020
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.
por Shounak S•
Mar 19, 2020
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.
por G.Subramanian k•
Jan 28, 2017
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 ......
por Muneeb S•
Mar 25, 2020
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.
por Felix B•
Feb 06, 2016
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.
por Ilian A•
Mar 12, 2016
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.
por Sundara R V S•
Feb 14, 2016
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.
por Pierre M•
Jan 22, 2016
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!
por Zimu G•
Sep 25, 2016
The material is excellent for some one who want to study coding in R. However, the course could be very difficult if you have no experience in programming in other language. I suggest that the team should clarify that programming experience are needed to take this course.
por Tim S•
Mar 24, 2016
For someone with no programming background and limited experience working with data, this was a challenging, sometimes (supremely) frustrating, course. But perseverance through the struggle can end in tremendous gratification. Happily, this is how it was - very rewarding.
por Su M M•
Dec 04, 2018
The assignments are harder than what's taught in the course. Perhaps the gap can be decreased which would make for a less frustrating experience. But all in all, it is very rewarding and a basic step towards learning more about R. Thanks so much to Professor Roger Peng!