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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,171 ratings

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

EJ

Jul 11, 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!

MR

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.

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3426 - 3450 of 4,720 Reviews for R Programming

By Hao X

Jun 7, 2018

Basically rewarding, but there exists a big gap between the lectures and assignments.

By Waldemar T

Jun 12, 2017

Tough course but highly interesting, enabling a better approach to data manipulation.

By Matiukhina K

Jan 23, 2017

It would be nice to have more complicated assignments which push brain to work harder

By blessing j o

Sep 8, 2022

it great to learning R, but i still need more improvement learning from this program

By Saul M

Oct 29, 2020

The assignments are tough. I loved them. The practice assignments were quite useful.

By Diego T

Jun 18, 2020

A bit old videos and version, however very useful in regards to processing data sets

By Deleted A

Jun 7, 2018

Asignment's difficulty level is way higher than what is discussed during the lessons

By Leonardo V S

Oct 30, 2016

great overview, but pretty challenging for those without any programming experience.

By amandine

Jun 5, 2020

Very interesting but a very steep learning curve in a complex programming language.

By SARTHAK A

May 9, 2020

writing functions should be taught and how to apply them should be taught properly.

By Dushyant S

Apr 23, 2019

Its very essential for a data analyst or scientist to learn this powerful language.

By 冯溢濠

Apr 17, 2016

The professor expressed the concept really good and it is quite easy to understand.

By Deleted A

Mar 24, 2016

Great overview. The Swirl exercises are wonderful for "teaching a person to fish".

By sudhanshu p

Mar 22, 2019

swirl is very great to have hands on on R.

feel sleepy while watching course videos

By 王近斐

Aug 5, 2017

a little bit hard in the assignment part, need to move it smoothly to get that far

By Sreeparna N

Mar 10, 2022

The course could have been more detailed. Its tough to understand as a beginner.

By Jacob S

Jun 21, 2018

Good course, although assignment 2 basically had the solution in the description.

By Erdem Y

Apr 28, 2017

Peer review doesnt make sense. I would appreciate if TA or Instructor reviews it.

By Aditya A

Jun 18, 2016

Hands-on with the videos should be given, instead of cumulative long assignments.

By Ceri M

Mar 23, 2016

Support material is decent but some more examples in video lectures would be good

By Deleted A

Jul 7, 2020

A little tough on the assignments and swirl exercises but overall a good course.

By Matthew G

May 1, 2020

An excellent course to get your feet wet, and start looking at R a little deeper

By Rajat Y

Jan 31, 2019

Difficulty level of some assignments are beyond the purview of course materials.

By B S

Nov 22, 2017

Good course to learn basics of R. It has a good mix between theory and practice.

By Blair N

Sep 23, 2017

R is a harder language than I had thought. This course explores key areas well.