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.
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!
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.
by Benjamin K•
May 03, 2016
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.
by Eric P•
Aug 26, 2019
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
by Marco A I E•
Jun 30, 2017
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!
by Jim B•
Dec 22, 2016
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.
by Ahmad K O•
Aug 27, 2019
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
by Giulio P•
Dec 26, 2018
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.
by Danie R•
Oct 19, 2016
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.
by Sanjay K S•
Jun 22, 2016
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.
by John M•
Jan 15, 2017
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.
by Jonathan D W•
Dec 26, 2019
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.
by Dmytro I•
Apr 08, 2017
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.
by Kyle S•
Jun 16, 2017
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.
by Akshay C•
Apr 13, 2017
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.
by Daniel O•
Aug 05, 2016
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.
by Mayur N•
Aug 19, 2019
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.
by Prabhjyot S•
Jul 23, 2019
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.
by MUNSHI K•
Dec 06, 2019
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!
by Hyungjin K•
Mar 19, 2018
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.
by Srinivasan R•
Oct 19, 2017
The last exercise was excellent (Week 4). Each question exposed the chinks in our code. This challenged the learner to refine the code to plug all holes. However, what I am not sure is how effective is my coide against failures and against speed.
by Subhankar J•
Aug 16, 2017
the assignments might be a little bit difficult for beginners to start with but that is what which will trigger a hacker in you and in turn will compel you find the answers and explore new and innovative ways of solving highly convoluted problems
by YUTING W•
Apr 03, 2016
You can learn basic functions of R and do practical assignments on your own. However, the assignments are a little bit challenging, and students need to take some time to figure it out, especially for people who are not familiar with programming.
by Yatin M•
Oct 20, 2016
Excellent introduction to R Programming...whether you are taking it stand-alone, as part of the data scientist specialization or want to ease into the machine learning side of things . The swirl() exercises are a helpful add. Kudos to the team.
by James H•
Feb 09, 2016
This course provides a great overiew to introductory R programming. Since taking the course, I have successfully used the precepts learned here for a number of analysis projects. Coupled with ggplot2 graphics, the results became self-evident.