Data Science

Data Science: Productivity Tools

Provided by Harvard University (HarvardX)
$49 USD
for a certificate
Study for free
Introductory
See Prerequisites

Data science projects require keeping track of many data files and analysis scripts. This course shows how to use GitHub, git, Unix/Linux, and RStudio to keep your projects organized and produce reproducible reports.

Part of Professional Certificate: Data Science
Course Format:Instructor-Led
Start Date:Jun 15, 2018

What you will 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

Overview

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.

In this course, you will learn what to download and how. We recommend an up-to-date browser.

Before you start

  • No prerequisites
  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Nov 9, 2018

Meet Your Instructors

Also in Data Science at edX

Propelling

Drive your career forward with university-backed credit programs and verified certificates

Convenient

Study and demonstrate knowledge on your schedule

Flexible

Try a course before you pay

Supportive

Learn with university partners and peers from around the world