Spring 2024 Quantitative Methods: Social Sciences GR5056 section 001

PRACTICUM IN DATA ANALYSIS

PRACTICUM IN DATA ANALYSI

Call Number 13156
Day & Time
Location
M 6:10pm-8:00pm
303 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Charles R Riemann
Type SEMINAR
Method of Instruction In-Person
Course Description

This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe 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: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)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, andhow it would best translate into corporate, non-profit, start-up and other contexts.

Web Site Vergil
Department Quantitative Methods/Social Sciences
Enrollment 11 students (55 max) as of 6:05PM Wednesday, July 24, 2024
Subject Quantitative Methods: Social Sciences
Number GR5056
Section 001
Division Graduate School of Arts and Sciences
Note QMSS STUDENTS ONLY; COMBINED GR5055
Section key 20241QMSS5056G001