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.
Este curso forma parte de Programa especializado: Mastering Software Development in R
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Programa especializado: Mastering Software Development in RUniversidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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100 % en línea
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Curso 3 de 5 en
Nivel intermedio
Aprox. 21 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
- Programming Tool
- Github
- Continuous Integration
- R Programming
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Nivel intermedio
Aprox. 21 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
3 horas para completar
Getting Started with R Packages
3 horas para completar
1 video (Total 2 minutos), 16 lecturas, 1 cuestionario
7 horas para completar
Documentation and Testing
7 horas para completar
14 lecturas
5 horas para completar
Licensing, Version Control, and Software Design
5 horas para completar
25 lecturas
6 horas para completar
Continuous Integration and Cross Platform Development
6 horas para completar
13 lecturas
Reseñas
- 5 stars51,85 %
- 4 stars24,07 %
- 3 stars13,88 %
- 2 stars3,24 %
- 1 star6,94 %
Principales reseñas sobre BUILDING R PACKAGES
por JM7 de feb. de 2018
Good slow walk through of the process for creating and checking a package
por CI6 de oct. de 2017
Overall, this was a good course to learn the intricacies of building R packages.
por CB29 de mar. de 2017
This is a critical skill and it's barely covered anywhere else. Thanks for making this course!
por AS13 de jul. de 2018
Amazing course! Will explain every detail regarding R package creation.
Acerca de Programa especializado: Mastering Software Development in R
R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products.
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