Explores visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, and manufacturing. Covers Python and R for data mining and visualization. Examines static and interactive visualization methods that reveal patterns, interactions, and comparisons, with a focus on color encoding, shape selection, spatial layout, and annotation.
Offering history
Term
Sections
Enrolled
Capacity
Full
Open seats/section
Fall 2025
1
128
500
26%
372.0
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 0% · Th 0% · F 0%
Common patterns: async (100% of sections)
— in patterns, R means Thursday