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Data Science for Public Policy (Springer Series in the Data Sciences) - Hardcover

 
9783030713515: Data Science for Public Policy (Springer Series in the Data Sciences)
  • PublisherSpringer
  • Publication date2021
  • ISBN 10 3030713512
  • ISBN 13 9783030713515
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages377

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9783030713546: Data Science for Public Policy (Springer Series in the Data Sciences)

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Chen, Jeffrey C.; Rubin, Edward A.; Cornwall, Gary J.
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Chen, Jeffrey C.; Rubin, Edward A.; Cornwall, Gary J.
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Chen, Jeffrey C.; Rubin, Edward A.; Cornwall, Gary J.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst's time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data. 380 pp. Englisch. Seller Inventory # 9783030713515

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