Data science for public policy (Record no. 30960)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220610b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030713515
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 300.285
Item number CHE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Jeffrey C.
245 ## - TITLE STATEMENT
Title Data science for public policy
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2021
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 363 p ;
Other physical details ill.,
Dimensions 29 cm
365 ## - TRADE PRICE
Price amount 64.99
Price type code EUR
Unit of pricing 86.00
490 ## - SERIES STATEMENT
Series statement Springer Series in the Data Sciences
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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 analysts 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Policy sciences
Topical term or geographic name as entry element Data processing
Topical term or geographic name as entry element Statistics
Topical term or geographic name as entry element Computer science
Topical term or geographic name as entry element Mathematics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Rubin, Edward A.
Personal name Cornwall, Gary J.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2022-06-01 5589.14 3 300.285 CHE 033035 2023-05-30 2023-01-09 Books

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