PSCI1800 - Introduction to Data Science

Status
A
Activity
LEC
Section number integer
910
Title (text only)
Introduction to Data Science
Term session
S
Term
2023B
Subject area
PSCI
Section number only
910
Section ID
PSCI1800910
Course number integer
1800
Level
undergraduate
Instructors
Roya Talibova
Description
Understanding and interpreting large, quantitative data sets is increasingly central in political and social science. Whether one seeks to understand political communication, international trade, inter-group conflict, or other issues, the availability of large quantities of digital data has revolutionized the study of politics. Nonetheless, most data-related courses focus on statistical estimation, rather than on the related but distinctive problems of data acquisition, management and visualization--in a term, data science. This course addresses that imbalance by focusing squarely on data science. Leaving this course, students will be able to acquire, format, analyze, and visualize various types of political data using the statistical programming language R. This course is not a statistics class, but it will increase the capacity of students to thrive in future statistics classes. 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. You are encouraged (but certainly not required) to register for both this course and PSCI 338 at the same time, as the courses cover distinct, but complimentary material.
Course number only
1800
Fulfills
Quantitative Data Analysis
Use local description
No