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Data Science for Public Policy

This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, t...

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Bibliographic Details
Main Authors: Chen, Jeffrey C., Rubin, Edward A. (Author), Cornwall, Gary J. (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Springer Series in the Data Sciences
Subjects:
Computational Mathematics And Numerical Analysis
Mathematics / Data Processing
Mathematical Statistics / Data Processing
Statistics And Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • An Introduction
  • The Case for Programming
  • Elements of Programming
  • Transforming Data
  • Record Linkage
  • Exploratory Data Analysis
  • Regression Analysis
  • Framing Classification
  • Three Quantitative Perspectives
  • Prediction
  • Cluster Analysis
  • Spatial Data
  • Natural Language
  • The Ethics of Data Science
  • Developing Data Products
  • Building Data Teams
  • Appendix A: Planning a Data Product
  • Appendix B: Interview Questions

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