Fall 2023 Political Science GU4716 section 001

Data Science for Political Analytics

Data Science for Pol Anal

Call Number 16574
Day & Time
Location
TR 2:40pm-3:55pm
333 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Gregory Wawro
Type LECTURE
Method of Instruction In-Person
Course Description

The digital revolution has created previously unimaginable opportunities to learn about political behavior and institutions. It has also created new challenges for analyzing the massive amounts of data that are now easily accessible. Open source software has reduced barriers and inequities in coding, but it also requires different kinds of effort to employ optimally the latest innovations. Harnessing the power of political data is more critical than ever, given the threats that misinformation and alternative “facts” present to democratic forms of government.


This course will teach students both essential tools and general strategies of data science within the domain of politics. Whether students’ goals are to analyze political behavior for academic or professional purposes, successful analysis requires skills for handling a wide array of issues that stand in the way of creating knowledge and insights from data.

This course prioritizes breadth over depth in the sense that we will introduce a broad range of topics relevant for data science to develop basic skills and form a foundation that students can build on. More complete mastery of these skills will require additional engagement beyond this course.

Web Site Vergil
Department Political Science
Enrollment 19 students (50 max) as of 9:05PM Friday, April 26, 2024
Subject Political Science
Number GU4716
Section 001
Division Interfaculty
Campus Morningside
Section key 20233POLS4716W001