03301nam 22005775 450 991049522320332120251113194950.03-030-71352-010.1007/978-3-030-71352-2(CKB)5590000000551206(MiAaPQ)EBC6716494(Au-PeEL)EBL6716494(OCoLC)1266361362(PPN)258054638(DE-He213)978-3-030-71352-2(EXLCZ)99559000000055120620210901d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Science for Public Policy /by Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (365 pages)Springer Series in the Data Sciences,2365-56823-030-71351-2 Includes bibliographical references and index.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.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.Springer Series in the Data Sciences,2365-5682MathematicsData processingMathematical statisticsData processingComputational Mathematics and Numerical AnalysisStatistics and ComputingMathematicsData processing.Mathematical statisticsData processing.Computational Mathematics and Numerical Analysis.Statistics and Computing.300.2854Chen Jeffrey1237345Rubin Edward A.Cornwall Gary J.MiAaPQMiAaPQMiAaPQBOOK9910495223203321Data science for public policy2872290UNINA