Data Science for Public Policy

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Release : 2021-09-01
Genre : Mathematics
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Book Rating : 520/5 ( reviews)

Data Science for Public Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science for Public Policy write by Jeffrey C. Chen. This book was released on 2021-09-01. Data Science for Public Policy available in PDF, EPUB and Kindle. 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.

Public Policy Analytics

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Release : 2021-08-18
Genre : Business & Economics
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Book Rating : 57X/5 ( reviews)

Public Policy Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Public Policy Analytics write by Ken Steif. This book was released on 2021-08-18. Public Policy Analytics available in PDF, EPUB and Kindle. Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial process’ and develop spatial analytics; how to develop ‘useful’ predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and ‘Planning’ are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Introduction to Data Science for Social and Policy Research

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Release : 2017-09-21
Genre : Computers
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Book Rating : 410/5 ( reviews)

Introduction to Data Science for Social and Policy Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Science for Social and Policy Research write by Jose Manuel Magallanes Reyes. This book was released on 2017-09-21. Introduction to Data Science for Social and Policy Research available in PDF, EPUB and Kindle. This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.

Data Science for Economics and Finance

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Release : 2021
Genre : Application software
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Book Rating : 916/5 ( reviews)

Data Science for Economics and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science for Economics and Finance write by Sergio Consoli. This book was released on 2021. Data Science for Economics and Finance available in PDF, EPUB and Kindle. This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.

Data Analysis for Business, Economics, and Policy

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Release : 2021-05-06
Genre : Business & Economics
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Book Rating : 011/5 ( reviews)

Data Analysis for Business, Economics, and Policy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis for Business, Economics, and Policy write by Gábor Békés. This book was released on 2021-05-06. Data Analysis for Business, Economics, and Policy available in PDF, EPUB and Kindle. A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.