Statistical programming in a high-level language, data visualization design principles, extracting insights from data visualization, data mining and machine learning, data classification; visualization of multivariate, time-series, and hierarchical data. Currently using R including ggplot2 and other relevant packages.

Antirequisite(s): Statistical Sciences 2864A/B.

Extra Information: 3 lecture hours, 2 lab hours.