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Learner Reviews & Feedback for R Programming by Johns Hopkins University

21,432 ratings
4,645 reviews

About the Course

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples....

Top reviews

May 11, 2020

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.

Feb 2, 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!

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476 - 500 of 4,547 Reviews for R Programming

By Robert L P

Feb 7, 2021

Very Challenging yet rewarding course! I learned a ton and really want to take it to the next level in learning and using R.

I also signed up for Roger's Podcast. Great job!

By 杨泽鹏

Jul 30, 2019

This course is so great! I learnt a lot of useful knowledge about R. Besides, I experienced a meaningful study progress on Coursera. Therefore, I really appreciate the JHU!

By Sebastien L

Apr 2, 2016

This class is packed with clear, concise and useful information. The level of difficulty was perfect for me. I learned through well designed exercises the fundamentals of R

By Roberto C E

Aug 15, 2020

Excellent course, structure, content, and tools have been selected correctly.

Happy to have overcome all the high-level challenges in it, I feel rewarded with the knowledge

By surender K

Jul 15, 2020

It is a nice designed course with quizzes and assignments for beginners. But I think there should be more assignments for more practice. All over it was a nice experience


May 28, 2020

The programming assignments in the end were very much challenging. I was not able to focus on any other activity when i got stuck at a problem. Very happy with the course.

By Duan L

Dec 3, 2017

Great course! I'd say that the assignments are very challenge for someone who never have programming experience before. but overall it's a great course and I learnt a lot.

By Javier

Jun 13, 2017

Clear and understandable.

Would have appreciated a bit more of depth in the functioning and programming behind some of the exercises to be given during the video sessions.

By Carlos A C Z

Apr 23, 2017

Is a very useful course although you need more hours to complete it.

Also you need practice a lot. Use swril to practice. It is high recommended. Thanks to the instructors

By Utsav B

Dec 7, 2016

I loved the way that this course has been structured. In addition, the sheer number of users makes this course more enjoyable since you can get your queries solved easily.

By Hillary D B

Jun 12, 2017

I found this to be a good way to be introduced to R programming. This taste of what's to come solidified that data science and/or data analysis is the career path for me.

By Madhabendra R

Apr 15, 2017

Best in all opinion to learn R in such a planned order ...Thank you Coursera and John Hopkins and definitely a big thanks to Prof. Roger D Peng, Jeff Leek and Brain Caffo


Oct 29, 2016

The data used for assignments are real world examples which makes the programming interesting. It would be helpful if the course provides sources for some other databases

By Pritam G

Jun 21, 2020

This course really helps me to learn R programming from the beginning. I am very much thankful to coursera to provide me such a platform, where I can learn data science.

By Stanly W

May 31, 2020

The course is very good. I had learned it as a part of my graduate program and with this four weeks, I learned much more than what I knew and used in one year. Thank you

By Andrii S

Jan 19, 2017

Nice introduction to R language.

Because one thing can done by several way, and after learning about different methods, in beginning it's becoming confusing what to use.

By angie p

Oct 3, 2016

I really enjoy it although it is tough for a begginer specially the assigments but there is help in the internet and the forum so it is fun and good to learn thanks lot

By Lantovololona F

Oct 19, 2020

This course develop a solid foundation unto the famous R software. Easy to follow, yet in-depth, it is adequate for anyone willing to get a better grasp on the subject.

By Amgad A

Feb 11, 2020

It was a great experience, the best course ever and the best materials, even when I had no time I downloaded the course and studied it, coursera is the best place ever!

By Yash G

Jul 12, 2018

It was a wonderful experience. I have learnt and enjoyed the course throughout the duration. The assignments were also interesting and focused a lot on the fundamentals

By Anshul S

Jan 21, 2018

Excellent course curriculum by John Hopkin University. Also thanks to Coursera for providing me with such an excellent chance of enriching my knowledge of this subject.


Dec 29, 2017

NIce course and good exercises. I'd suggest better and more explanation on scoping rules and examples on updating global variables in a loop or a local section. Thanks!

By Brad B

Jul 28, 2021

A great series of introductory courses to R programming, data science and statistics. I enjoyed taking about 6 of the 8 of these courses before I had to take a break.

By Matheus d M d A

Jan 20, 2020

R Programming is a good, dicdatic and comprehensive course on R. It teaches you how to perform the main operations, subset objects, write functions and deal with data.

By Nilrey J D C

Oct 7, 2019

I was using R in my thesis but back then I did not understand well the R as a language. This course provide me the basic and intermediate skill to do programming in R.