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Opiniones y comentarios de aprendices correspondientes a Building R Packages por parte de Universidad Johns Hopkins

4.1
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198 calificaciones
52 reseña

Acerca del Curso

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....

Principales reseñas

KM

Jun 04, 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...

ME

Jan 16, 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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51 - 51 de 51 revisiones para Building R Packages

por Tim S

Feb 12, 2018

Iam actually waiting for over one week to get graded. I dont want to pay for waiting!