Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
This workshop introduces the basic concepts of Git version control. Whether you're new to version control or just need an explanation of Git and GitHub, this two hour tutorial will help you understand the concepts of distributed version control. Get to know basic Git concepts and GitHub workflows through step-by-step lessons. We'll even rewrite a bit of history, and touch on how to undo (almost) anything with Git. This is a class for users who are comfortable with a command-line interface.
Software: Bash/command line, Git, GitHub
Duration: 120 min

Room description:

During the Fall 2021 semester, some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering

Prerequisites:
  • Familiarity with, or comfort in trying, directory and file management in a command-line environment
  • Ability to write one- and two-line sample code in a text editor
Skills Taught / Learning Outcomes:
  • Setting up personal storage environment with backups
  • Installing a cloud storage desktop client
  • Using project management systems
  • File naming, bulk renaming, and description
Class Materials:

Slides: https://nyu-dataservices.github.io/Intro-Git-GitHub

Related Classes:

Introduction to Python

Introduction to R

Managing a Personal Research Archive

Reproducibility in R

Introduction to Unix-Linux and the shell

Additional Training Materials:

Git Essential Training via LinkedIn Learning (NYU NetID required)

Learning Git and GitHub via LinkedIn Learning (NYU NetID required)

Think Like (a) Git

Software carpentry lesson [exercise/project]

Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial