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!
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.
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 Brittney B•
Apr 25, 2020
This course was well-structured and very useful! I have only been programming in R for a few months and I found this very informative and a great way to learn! I would 100% recommend this course and will be continuing on with other courses in the series.
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.