Interactive Visualization and Data Analytics. 3 credits

Catalog description

The course is designed for students who aim at understanding core theoretical concepts and practical skills that a broader data science community share when (1) collecting and processing data in a scalable way, (2) creating cognitively efficient interactive visualization, (3) formulating statistical testing and conducting analysis, and (4) topics in interactive ML. The course is suitable for students who aim at establishing their background as data scientists, quantitative researchers, marketers, and other relevant roles. Offered by Info Sciences & Technology . May not be repeated for credit.