Spring 2024 Quantitative Methods: Social Sciences GR5072 section 001

MODERN DATA STRUCTURES

Call Number 13164
Day & Time
Location
W 6:10pm-8:00pm
233 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Nicholas L Anderson
Type SEMINAR
Method of Instruction In-Person
Course Description

This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. (It should also give students a flavor of what would be expected of them in a typical data science interview.) Each week will have simple, moderate and complex examples in class, with code to follow. Students will then practice additional exercises at home. The end point of each project would be to get the data organized and cleaned enough so that it is in a data-frame, ready for subsequent analysis and graphing. Therefore, no analysis or visualization (beyond just basic tables and plots to make sure everything was correctly organized) will be taught; and this will free up substantial time for the “nitty-gritty” of all of this data wrangling.

Web Site Vergil
Department Quantitative Methods/Social Sciences
Enrollment 43 students (51 max) as of 5:05PM Wednesday, July 24, 2024
Subject Quantitative Methods: Social Sciences
Number GR5072
Section 001
Division Graduate School of Arts and Sciences
Note PRIORITY QMSS STUDENTS
Section key 20241QMSS5072G001