Lecture, four hours; outside study, eight hours. Requisite: course 150A. Data-driven analysis, modeling, and control of fluid flows using modern linear algebra, modal analysis, reduced-order modeling, clustering, network science, and machine learning. Emphasis on extracting physical characteristics and insights from fluid flow data. Letter grading.