Data Science for Psychology

This is the website and open textbook for Data Science for Psychology, a course at the University of Wisconsin–Milwaukee on using data science methods to analyze data from psychology studies. The course teaches students how to use Python with modern tools including integrated development environments, version tracking, and code notebooks for flexible, reproducible, and open analysis of psychological measurements.

The Data Science for Psychology textbook was written by Neal W Morton, PhD in 2025.

Chapters

Data science programming

• Python variables
• Python functions
• Python control flow
• Scientific computing in Python
• Descriptive statistics
• Midterm review
• Data Frames
• Data Cleaning
• Data Visualization
• Inferential Statistics
• Reporting

Code development

• Python Packages
• Coding Best Practices
• Project Iteration

Links

• Course code

• Sample project

• Template project