PST 7730 — Data Analysis for Professionals: Visualization and Interpretation
3 semester hoursGraduateLectureusually offered: springOnlineOnline
Presents data analysis techniques focused on the principles of data visualization and interpretation tailored for professionals across various disciplines. Offers students an opportunity to obtain hands-on experience in selecting and applying appropriate visualization tools to represent complex datasets effectively. Explores methodologies for interpreting visualizations and drawing meaningful insights to inform decision making. Emphasizes critical skills in data-driven storytelling and communicating findings to diverse stakeholders.
Prerequisites
- PST 7720 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2026 | 1 | 6 | 25 | 24% | 19.0 |
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
Professors
Spring
- Joseph Reilly (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list PST 7730 in their prerequisites.
Links
Official catalog (PST course descriptions) · All PST courses · Plan it at numap.app