Data Science for Public Policy is popular PDF and ePub book, written by Jeffrey C. Chen in 2021-09-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Science for Public Policy can be Read Online from any device for your convenience.
Data Science for Public Policy Book PDF Summary
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.
Detail Book of Data Science for Public Policy PDF
- Author : Jeffrey C. Chen
- Release : 01 September 2021
- Publisher : Springer Nature
- ISBN : 9783030713522
- Genre : Mathematics
- Total Page : 365 pages
- Language : English
- PDF File Size : 16,5 Mb
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