From Social Science to Data Science: Key Data Collection and Analysis Skills in Python

A Python textbook organized around the practical skills social scientists need: working with DataFrames, accessing web data and APIs, merging and cleaning datasets, and interpreting results. Bridges the gap between social science research questions and the computational tools required to answer them at scale.

Bridges social science methodology and Python programming, meeting social scientists where they are rather than requiring them to first become computer scientists. Supported by Jupyter notebooks, exercises, and video tutorials, it provides a complete pedagogical infrastructure for researchers transitioning to computational methods.