Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.
"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 Andrés M•
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•
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 Z B•
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•
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 Aaqib G•
We the students belonging to middle class families can not be thankful enough. This platform is the best for learning courses. This course was very engaging, even though for a beginner like me, it was very challenging but the overall time i spent on this was fruitful.
By Dale O J•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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•
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.