<p>Lecture, three hours. Preparation: proficiency in basic R coding, probability theory, linear algebra, multivariate calculus, and statistics through inference and regression. Tools to pursue both theoretical and applied research in causality. S/U or letter grading.</p>

Statistics

Combining rigorous, inclusive pedagogy with opportunities for co-curricular activities—including research, internships, and community engagement—the College provides students with diverse learning experiences that helps them thrive, become critical thinkers, and transform society.

College of Letters and Science

The department introduces students to the science of data through three sequences: theoretical statistics, data analysis, and statistical computing.

General Catalog

Causality

STATS256

4 units