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Georgetown University

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Detailed Course Information

 

Fall 2019
Jan 20, 2022
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Information Select the desired Level or Schedule Type to find available classes for the course.

PPOL 566 - Data Science III: Adv Mod Tec
This final course in the core data science sequence focuses on unsupervised learning techniques, natural language processing, and network analysis. The course builds off of the modeling concepts covered in Data Science II by teaching students how to effectively explore, model, and predict with unstructured data, such as text or data streams like those encountered in social media. Students will engage with a number of policy-relevant data case studies throughout the course and will work on a policy-focused data science project in which to apply their statistical learning toolkit.

3.000 Credit hours
3.000 Lecture hours

Levels: MN or MC Graduate
Schedule Types: Lecture, Seminar

Public Policy Department

Restrictions:
Must be enrolled in one of the following Majors:     
      Data Science for Public Policy

Prerequisites:


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