What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
Article
This course is part of Mastering Software Development in R Specialization
Instructors: Roger D. Peng, PhD
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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.
1 video16 readings1 assignment
14 readings1 peer review
25 readings1 assignment
13 readings1 peer review
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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223 reviews
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Reviewed on Mar 12, 2022
The course delivered the basic goals of creating a package for the first time in R!
Reviewed on Apr 15, 2021
It teaches the up-to-date approaches, in a concise and also systematic way
Reviewed on Jan 15, 2017
Very good course for intermediate/advanced R users. Sad that you are elegible to do assignments only if you pay.
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