Summer 2023 Quantitative Methods: Social Sciences S5072 section 001

MODERN DATA STRUCTURES

Call Number 12483
Day & Time
Location
MW 1:00pm-4:10pm
337 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Michael Parrott
Type LECTURE
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
Subterm 07/03-08/11 (B)
Department Summer Session (SUMM)
Enrollment 5 students (30 max) as of 4:06PM Friday, April 19, 2024
Subject Quantitative Methods: Social Sciences
Number S5072
Section 001
Division Summer Session
Campus Morningside
Section key 20232QMSS5072S001