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
Course Categories: Quantitative Analysis, Software