Call Number | 11033 |
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Day & Time Location |
R 4:10pm-6:00pm To be announced |
Points | 3 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Nicole C Dicrecchio |
Type | SEMINAR |
Method of Instruction | In-Person |
Course Description | This practicum will mimic the typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: • developing the intuition and skills to properly scope ambiguous project ideas; • practicing organizing and accessing a variety of large-scale data sources and formats; • conducting basic and advanced analysis of big data; and • communicating and “productizing” results and findings from the earlier steps, in things like dashboards, reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, and how it would best translate into corporate, non-profit, start-up and other contexts. |
Web Site | Vergil |
Department | Quantitative Methods/Social Sciences |
Enrollment | 0 students (15 max) as of 9:14PM Wednesday, November 20, 2024 |
Subject | Quantitative Methods: Social Sciences |
Number | GR5053 |
Section | 001 |
Division | Graduate School of Arts and Sciences |
Note | QMSS STUDENTS ONLY; COMBINED GR5052 |
Section key | 20251QMSS5053G001 |