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|INSH 6406 - Analyzing Complex Digitized Data|
Introduces cutting-edge ways of structuring and analyzing complex data or digitized text-as-data using the open-source programming language Python. Scholars across multiple disciplines are finding themselves face-to-face with massive amounts of digitized data. In the humanities and social sciences, these data are often in the form of unstructured text and un- or under-structured data. Encourages students to think about novel ways they can apply these techniques to their own data and research questions and to apply the methods in their own research, whether it be in academia or in industry.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Seminar
Interdisc Studies - Soc Sc/Hum Department
GS Col Socl Sci & Humanities