Chevron Left
Back to Building R Packages

Learner Reviews & Feedback for Building R Packages by Johns Hopkins University

219 ratings

About the Course

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN....

Top reviews


Jun 3, 2019

Fantastic course... Unfortunately, not too many people registered, it's tough to get your assignments graded. The program is the great continuation to the 10 course R data science specialization...


Jun 10, 2022

Useful programming exercises to guide learning the basic elements of R packages. Also glad that I got my assignments graded within a week following submission (thought it would take much longer).

Filter by:

1 - 25 of 58 Reviews for Building R Packages

By Shawn M

Feb 15, 2019

By Matthew M

Jan 14, 2019

By Rebecca G

Jul 23, 2017

By Zsolt P

Sep 21, 2018

By George L

Jul 24, 2019

By Christopher M P

Feb 10, 2020

By Edmund J L O

Jan 20, 2018

By Rahul V

May 10, 2021

By Julia M

Aug 13, 2021

By Damian S

Jun 21, 2018

By João G C

Jun 1, 2020

By Jonathan D

Apr 3, 2018

By Tim S

Feb 12, 2018

By Jason S

Nov 27, 2017

By Jay B

Aug 5, 2017

By Youdinghuan C

Dec 25, 2017

By Konstantin M

Jun 4, 2019

By Mio R

Jun 11, 2022

By Moisés E A

Jan 16, 2017

By Gregorio A A P

Aug 26, 2017

By Yi X

Feb 2, 2019

By Christopher B

Mar 30, 2017

By Marco M

Nov 16, 2020

By George P

Mar 13, 2022

By Cardy M I

Oct 7, 2017