Visualization for Data Science

Undergraduate / Graduate

This course imparts design knowledge and technical skills around data visualization that data scientists need for analysis and communication. Design principles for data visualization are based on frameworks for thinking about chart construction, empirical research on human perception and cognition, a repertoire of design strategies, and theories about what makes an effective chart. Data Science majors will build practical skills around visualization APIs, computational notebooks, graphics editing software, and technical writing. Topics of interest include visualization software, spatial and visual reasoning, cartography, making data interactive, persuasion and deception, uncertainty communication, and model interpretability.