Data Science: Productivity Tools Course will help keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio. There could be many components in a typical data analysis project, each with a different set of data files and scripts. Maintaining this level of organization is difficult.
Learn how to use Unix/Linux to manage your computer’s files and directories in this course part of our Professional Certificate Program in Data Science. A helpful tool for keeping track of changes in your scripts and reports is git, which will be presented to you. In addition, you’ll learn about GitHub and see how it can be used to save your work in a way that encourages teamwork.
Finally, you will learn how to write reports in R markdown, which allows you to incorporate both text and code into a document. RStudio, a solid integrated desktop environment, will be used to bring it all together.
What you’ll learn
- How to use Unix/Linux to manage your file system
- How to perform version control with git
- How to start a repository on GitHub
- How to leverage the many useful features provided by RStudio
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