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Books > Reference & Interdisciplinary > Communication studies > Data analysis
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Data Science for Public Policy (Hardcover, 1st ed. 2021)
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Data Science for Public Policy (Hardcover, 1st ed. 2021)
Series: Springer Series in the Data Sciences
Expected to ship within 9 - 15 working days
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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.
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