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Data Science: Productivity Tools

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Data Science: Productivity Tools

There is one session available:

80,182 already enrolled! After a course session ends, it will be archived.
Starts Sep 23
Estimated 8 weeks
1–2 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

About this course

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A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging.

Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized. You will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports. We also introduce you to GitHub and demonstrate how you can use this service to keep your work in a repository that facilitates collaborations.

Finally, you will learn to write reports in R markdown which permits you to incorporate text and code into a document. We'll put it all together using the powerful integrated desktop environment RStudio.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:

What you'll learn

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  • 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

About the instructors

Frequently Asked Questions

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