PSCI1800 - Introduction to Data Science
Status
A
Activity
REC
Section number integer
205
Title (text only)
Introduction to Data Science
Term
2024A
Subject area
PSCI
Section number only
205
Section ID
PSCI1800205
Course number integer
1800
Meeting times
F 12:00 PM-12:59 PM
Meeting location
PCPE 202
Level
undergraduate
Instructors
Dylan E Radley
Marc Trussler
Marc Trussler
Description
Understanding and interpreting large datasets is increasingly central in political and social science. From polling, to policing, to economic inequality, to international trade, knowing how to work with data will allow you to shed light on a wide variety of substantive topics. This is a first course in a 4-course sequence that teaches students how to work with and analyze data. This class focuses on data acquisition, management, and visualization, the core skills needed to do data science. Leaving this course, students will be able to acquire, input, format, analyze, and visualize various types of political and social science data using the statistical programming language R. While no background in statistics or political science is required, students are expected to be generally familiar with contemporary computing environments (e.g. know how to use a computer) and have a willingness to learn a variety of data science tools. Leaving this class, students will be prepared to deepen their R skills in PSCI 3800, and then use their R skills to learn statistics in PSCI 1801 and 3801. They will also be ready to use their R skills in courses in other disciplines as well.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No