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.
About this Course
Skills you will gain
- 5 stars52.05%
- 4 stars23.74%
- 3 stars13.69%
- 2 stars3.65%
- 1 star6.84%
TOP REVIEWS FROM BUILDING R PACKAGES
The course delivered the basic goals of creating a package for the first time in R!
very good, an interesting way of learning.
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...
This is a critical skill and it's barely covered anywhere else. Thanks for making this course!
About the Mastering Software Development in R Specialization
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