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描述

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.阅读更多.

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按照数据工作岗位排列职业相关性

Building R Packages 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。

相似度得分(满分 100)