davidbroska/Computational-Political-Science
Repository for Computational Political Science course at Zeppelin University
This course provides political science students and researchers with quantitative methods to analyze digital data. It helps users collect and analyze online information, transforming raw web data or text corpora into structured insights like content categories, word counts, and inferred political ideologies. The course is designed for political scientists eager to use computational tools to study social phenomena.
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Use this if you are a political scientist or social science researcher who wants to learn how to collect and analyze large datasets, especially text, from online sources using computational methods.
Not ideal if you are looking for a plug-and-play software tool, as this is a course repository requiring hands-on coding and an understanding of R programming.
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