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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

JM

Aug 11, 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.

WH

Feb 2, 2016

"R Programming" forces you to dive in deep.

These skills serve as a strong basis for the rest of the data science specialization.

Material is in depth, but presented clearly. Highly recommended!

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3451 - 3475 of 4,736 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.