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.
提供方
課程信息
學生職業成果
25%
14%
您將獲得的技能
學生職業成果
25%
14%
提供方

约翰霍普金斯大学
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.
教學大綱 - 您將從這門課程中學到什麼
Getting Started with R Packages
Documentation and Testing
Licensing, Version Control, and Software Design
Continuous Integration and Cross Platform Development
審閱
來自BUILDING R PACKAGES的熱門評論
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...
Very good course for intermediate/advanced R users. Sad that you are elegible to do assignments only if you pay.
This is a critical skill and it's barely covered anywhere else. Thanks for making this course!
Overall, this was a good course to learn the intricacies of building R packages.
關於 Mastering Software Development in R 專項課程
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.

常見問題
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
Is financial aid available?
還有其他問題嗎?請訪問 學生幫助中心。