Jul 12, 2016
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!
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!
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!
by 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.
by 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.
by 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.
by 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.
by 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 ......
by 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.
by Debjit C•
Jun 03, 2020
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•
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.
by 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.
by 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.
by 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!
by Yuan L•
Jul 24, 2020
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 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.
by 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.
by Andrés M•
Jun 27, 2020
I highly recommend this course. However, I've got to admit that I struggled with some assignments because the level is above the average. The lectures are clear and well explained, but It would be nice to have more examples in each lecture. Overall it is a great course!
by 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!
by Zbigniew B•
Oct 28, 2017
The lectures give a good foundation while the programming assignments challenge your problem solving. It is necessary to do extra research to finish the programming assignments correctly but in the end the assignments are the most rewarding and best driver for learning.
by Vanessa M M•
Nov 30, 2019
The course has really made me push myself to get better at learn how to code in R but also understand the theory behind R and how the code works. It has been quite intense but I know that I needed this in order to boost my confidence and learn what I needed to about R.
by Dale O J•
Apr 29, 2018
The read.csv needs better explanation and an example. Although Dr. Peng's book provided a great deal of clarity that did not appear in the lectures and related material. nevertheless, with a great deal of effort I have acquired a greater conceptual understanding of R.
by Rahul G•
Jul 03, 2017
This was a really comprehensive R Programming Course but i would definitely recommend the pace of the course to be slow for the beginners as they are takers from non programming background. Also there should be more practice even though less content is covered.
by Sam M•
Apr 26, 2018
Excellent course. Learned basics of R programming. Enough to carry forward on my own to do more advanced level of R programming! Very informative tutorials. Quizzes and Assignments are tricky and make you learn a lot. The hints provided by the mentors were valuable!
by Manikanta L•
Dec 04, 2017
The course has detailed information about R programming. Not only theory but the examples that are shown after every slide followed by assignments provides very good hands on experience. Really loved it. Thank you coursera and its associates for wonderful guidance.
by Anastasia T•
Feb 01, 2017
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.
by Bogdan P•
Apr 06, 2016
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.