Spring 2023 Quantitative Methods: Social Sciences GR5053 section 001

PRACTICUM IN DATA ANALYSIS II

PRACTICUM IN DATA ANALYSI

Call Number 12741
Day & Time
Location
M 8:10am-10:00am
627 Seeley W. Mudd Building
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 1 student (15 max) as of 9:07PM Thursday, April 25, 2024
Subject Quantitative Methods: Social Sciences
Number GR5053
Section 001
Division Graduate School of Arts and Sciences
Campus Morningside
Note QMSS STUDENTS ONLY; COMBINED GR5052
Section key 20231QMSS5053G001