JRNL 3700 — Data Storytelling
4 semester hoursUndergraduateLectureNUpath ADusually offered: springtypical days: T/FBostonTraditional
Explores select topics in data journalism and supports data-driven storytelling projects of various kinds. Course units foster moderate technical learning of applications and software; incorporate theories from relevant fields in data visualization and data science; and emphasize storytelling for broad public audiences. Seeks to foster knowledge of both the classic and cutting-edge forms for telling stories with data. Offers students an opportunity to obtain a sense of rigor in analyzing and using data and statistics and to build knowledge of a variety of tools to clean, analyze, and visualize data. Journalists are becoming more sophisticated in their approaches to quantitative information, drawing on the growing amount of open data sets and using software and techniques borrowed from the social sciences and data science.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 11 | 12 | 92% | 1.0 |
| Spring 2026 | 1 | 12 | 12 | 100% | 0.0 |
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 100% · W 0% · Th 0% · F 100%
Common patterns: TF (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Rahul Bhargava (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (JRNL course descriptions) · Student reviews on RateMyHusky · All JRNL courses · Plan it at numap.app