Data Science for Public Policy
Jeffrey C Chen author Edward A Rubin author Gary J Cornwall author
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:2nd Sep '22
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£54.99(9783030713515)
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.
ISBN: 9783030713546
Dimensions: unknown
Weight: unknown
363 pages
1st ed. 2021