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Georgetown University

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Detailed Course Information

 

Fall 2017
Oct 18, 2018
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Information Select the desired Level or Schedule Type to find available classes for the course.

PPOL 670 - Intro to Data Science
The Introduction to Data Science for Public Policy is a survey course of the fundamentals of data science.  The course is focused on evaluating and analyzing public policy, telling stories with data to make compelling and fact-based arguments.  

The objective of the course to equip students with the skills to tell stories with data and drive action.  Public policy is part of a large and sprawling social system.  Parsing causality from a system of variables where everything is related requires a scalpel.  This refined approach can be assembled from pre-written code and routines; but it still requires skilled assembly.  We will teach an approach that leverages analytical routines that have already been written.  The value of this course is in the mortar, not the bricks. (Pre-requisites: Quant III or permission of the instructor).  

3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours

Levels: MN or MC Graduate, Juris Doctor
Schedule Types: Lecture

Public Policy Department

Restrictions:
Must be enrolled in one of the following Fields of Study (Major, Minor, Concentration, or Certificate):
      Int'l Development Policy
      Law/Public Policy
      Policy Management
      Public Policy

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