Course Description
Graduate seminar on quantitative reasoning for education and youth: what can we responsibly claim from evidence, and what should we not? Students learn causal and quasi-experimental designs (RCTs, RD, DiD/event studies, CITS) and build reproducible R workflows for data management, visualization, and interpretation. Emphasis on claim discipline, validity threats, and decision-facing communication in dashboards, edtech, and AI-enabled analytics.
