Data Science: Productivity Tools

MOOC
Data Science: Productivity Tools
Language
English
Duration
5 months
Certificate
Certification paid
Course by EdX
Data Science: Productivity Tools
What will you 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
About the course

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.

Program
Data Science: Productivity Tools
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Lecturers
Rafael Irizarry
Rafael Irizarry
Professor of Biostatistics Harvard University
Platform
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All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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