DS 5110 — Essentials of Data Science
4 semester hoursGraduateLectureusually offered: fall, springArlington, VABostonPortland, MaineSilicon Valley, CATraditional
Introduces students to the core tasks in data science, including data collection, storage, tidying, transformation, processing, management, and modeling for the purpose of extracting knowledge from raw observations. Programming is a cross-cutting aspect of the course. Offers students an opportunity to gain experience with data science tasks and tools through short assignments. Includes a term project based on real-world data.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 4 | 183 | 208 | 88% | 6.3 |
| Spring 2024 | 4 | 165 | 212 | 78% | 11.8 |
| Fall 2024 | 5 | 162 | 251 | 65% | 17.8 |
| Spring 2025 | 4 | 98 | 134 | 73% | 9.0 |
| Fall 2025 | 5 | 219 | 304 | 72% | 17.0 |
| Spring 2026 | 2 | 96 | 111 | 86% | 7.5 |
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 28% · T 37% · W 15% · Th 30% · F 8%
Common patterns: T (30% of sections), R (22% of sections), M (17% of sections), W (13% of sections), MR (8% of sections), TF (8% of sections) — in patterns, R means Thursday
Professors
Fall
- Roi Yehoshua (32% of students) · reviews
- Fatema Nafa (30% of students) · reviews
- David Brady (15% of students) · reviews
- Mohammadhossein Toutiaee (12% of students) · reviews
Spring
- Kylie Bemis (79% of students) · reviews
- Philip Bogden (12% of students) · reviews
- Ryan Bockmon (5% of students) · reviews
- Roi Yehoshua (4% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list DS 5110 in their prerequisites.
Links
Official catalog (DS course descriptions) · Student reviews on RateMyHusky · All DS courses · Plan it at numap.app