Acerca de este Curso
4,505 vistas recientes

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 13 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Programming ToolGithubContinuous IntegrationR Programming

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 13 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Getting Started with R Packages

1 video (Total 2 minutos), 16 lecturas, 1 cuestionario
16 lecturas
Before You Start10m
Using Mac OS10m
Using Windows10m
Using Unix/Linux10m
R packages10m
Basic Structure of an R Package10m
DESCRIPTION File10m
NAMESPACE File10m
Namespace Function Notation10m
Loading and Attaching a Package Namespace10m
The R Sub-directory10m
The man Sub-directory10m
Summary10m
The devtools package10m
Creating a Package10m
Other Functions10m
1 ejercicio de práctica
R Package and devtools20m
Semana
2
7 horas para completar

Documentation and Testing

14 lecturas, 1 cuestionario
14 lecturas
Documentation10m
Vignette's and README Files10m
Knitr / Markdown30m
Common knitr Options10m
Help Files and roxygen210m
Common roxygen2 Tags10m
Overview10m
Data for Demos10m
Internal Data10m
Data Packages10m
Summary10m
Introduction10m
The testthat Package10m
Passing CRAN Checks10m
Semana
3
5 horas para completar

Licensing, Version Control, and Software Design

25 lecturas, 1 cuestionario
25 lecturas
Overview10m
The General Public License10m
The MIT License10m
The CC0 License10m
Overview10m
Paying it Forward10m
Linus’s Law10m
Hiring10m
Summary10m
Introduction10m
git10m
Initializing a git repository10m
Committing10m
Browsing History10m
Linking local repo to GitHub repo10m
Syncing RStudio and GitHub10m
Issues10m
Pull Request10m
Merge Conflicts10m
Introduction10m
The Unix Philosophy10m
Default Values10m
Naming Things10m
Playing Well With Others10m
Summary10m
1 ejercicio de práctica
Testing, GitHub, and Open Source20m
Semana
4
6 horas para completar

Continuous Integration and Cross Platform Development

13 lecturas, 1 cuestionario
13 lecturas
Overview10m
Web Services for Continuous Integration10m
Using Travis10m
Using AppVeyor10m
Summary10m
Introduction10m
Handling Paths10m
Saving Files & rappdirs10m
rappdirs10m
Options and Starting R10m
Package Installation10m
Environmental Attributes10m
Summary10m
4.2
45 revisionesChevron Right

25%

comenzó una nueva carrera después de completar estos cursos

17%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Building R Packages

por KMJun 4th 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...

por CBMar 30th 2017

This is a critical skill and it's barely covered anywhere else. Thanks for making this course!

Instructores

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

Acerca de 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....

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. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....
Mastering Software Development in R

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.