The Hitchhiker's Guide to Data Science for Social Good

Provides a comprehensive toolkit to build a data-based project for social good

by University of Chicago

Target Skill Level: Beginner
Audience: Nonprofit staff

The Data Science for Social Good Hitchhiker's Guide provides a comprehensive step-by-step guide for organizations looking to complete a data-related project for social good. The guidance is broken down to help navigate the extensive DSSG curriculum. Chapters include:

  • Before You Start-- Prerequisites and Sotware Setup, then Project Scoping Intro and Pipelines and Project Workflow to assist in project selection and organization 
  • Getting and Keeping Data
  • Data Exploration and Analysis-- includes an introduction to Git and Python 
  • Modeling and Machine Learning
  • Programming Best Practices
  • Presentations and Communications

Creative Commons License

Course Categories: Quantitative Analysis, Software