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Fall 2021 Semester
May 21, 2022
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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

Levels: Graduate
Schedule Types: Seminar

Interdisc Studies - Soc Sc/Hum Department

Course Attributes:
GS Col Socl Sci & Humanities

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate
Must be enrolled in one of the following Colleges:     
      Coll of Soc Sci & Humanities

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