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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,247 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

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.

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!

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3451 - 3475 of 4,737 Reviews for R Programming

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.

By Kevin A R

Aug 4, 2017

Good material but a lot of time was required to complete the projects each week.

By YUCHEN Z

Jul 7, 2017

if you're a new programmer, it would be frustrated to strat with this course. ..

By Aman V

Sep 23, 2021

in this course review system is not good. Many student do not reply any other.

By Nicholas Y

Apr 19, 2020

Good introduction to R basics, well integrated with swirl library and R Studio.

By Nishank B

Jul 22, 2017

Overall good. Could have been bit better via adding few problem solving videos.

By Rishav G

Apr 19, 2018

The assignments were harder compared to the topics dealt with in the lectures.

By Yu.Zhong

Jul 15, 2017

pretty good. But i suppose that the structure of this course is not very well.

By Brian F

Jun 19, 2017

I think overall it was a good course - but a little basic for a 4 week course.

By Ajay K

Jun 21, 2016

Good course to learn R who plan to or are into data science/statistical field.

By Narayana D

Feb 13, 2016

This course should have more assignments of R Programming. Remaining are good.

By Diego C

Sep 12, 2018

Nice course! Interesting assignments to practice the concepts seen during it.

By Yu C

Nov 20, 2016

I think it will be more helpful if you already have some knowledge on coding.