Federal Data Science

Written By Feras A. Batarseh
Federal Data Science
  • Publsiher : Academic Press
  • Release : 21 September 2017
  • ISBN : 012812444X
  • Pages : 256 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Federal Data Science written by Feras A. Batarseh which was release on 21 September 2017, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective. Offers a range of data science models, engineering tools, and federal use-cases Provides foundational observations into government data resources and requirements Introduces experiences and examples of data openness from the US and other countries A step-by-step guide for the conversion of government towards data-driven policy making Focuses on presenting data models that work within the constraints of the US government Presents the why, the what, and the how of injecting AI into federal culture and software systems

Federal Data Science

Federal Data Science
  • Author : Feras A. Batarseh,Ruixin Yang
  • Publisher : Academic Press
  • Release Date : 2017-09-21
  • Total pages : 256
  • ISBN : 012812444X
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Summary : Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their ...

Data Science for Business and Decision Making

Data Science for Business and Decision Making
  • Author : Luiz Paulo Fávero,Patrícia Belfiore
  • Publisher : Academic Press
  • Release Date : 2019-04-11
  • Total pages : 1240
  • ISBN : 012812444X
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Summary : Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects ...

Data Science for Librarians

Data Science for Librarians
  • Author : Yunfei Du,Hammad Rauf Khan
  • Publisher : ABC-CLIO
  • Release Date : 2020-03-26
  • Total pages : 160
  • ISBN : 012812444X
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Summary : This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; ...

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1
  • Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
  • Publisher : Academic Press
  • Release Date : 2021-05-27
  • Total pages : 752
  • ISBN : 012812444X
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Summary : Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science ...

Data Science in the Public Interest Improving Government Performance in the Workforce

Data Science in the Public Interest  Improving Government Performance in the Workforce
  • Author : Joshua D. Hawley
  • Publisher : W.E. Upjohn Institute
  • Release Date : 2020-07-22
  • Total pages : 150
  • ISBN : 012812444X
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Summary : This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed ...

Roundtable on Data Science Postsecondary Education

Roundtable on Data Science Postsecondary Education
  • Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Division on Engineering and Physical Sciences,Board on Science Education,Computer Science and Telecommunications Board,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
  • Publisher : National Academies Press
  • Release Date : 2020-10-02
  • Total pages : 223
  • ISBN : 012812444X
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Summary : Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the ...

Data Science Landscape

Data Science Landscape
  • Author : Usha Mujoo Munshi,Neeta Verma
  • Publisher : Springer
  • Release Date : 2018-03-01
  • Total pages : 339
  • ISBN : 012812444X
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Summary : The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in ...

Data Science For Dummies

Data Science For Dummies
  • Author : Lillian Pierson
  • Publisher : John Wiley & Sons
  • Release Date : 2015-02-20
  • Total pages : 408
  • ISBN : 012812444X
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Summary : Discover how data science can help you gain in-depth insight into your business – the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students ...

Applied Data Science

Applied Data Science
  • Author : Martin Braschler,Thilo Stadelmann,Kurt Stockinger
  • Publisher : Springer
  • Release Date : 2019-06-13
  • Total pages : 465
  • ISBN : 012812444X
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Summary : This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement ...

Research Handbook in Data Science and Law

Research Handbook in Data Science and Law
  • Author : Vanessa Mak,Eric Tjong Tjin Tai,Anna Berlee
  • Publisher : Edward Elgar Publishing
  • Release Date : 2018-12-28
  • Total pages : 512
  • ISBN : 012812444X
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Summary : The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or ...

97 Things About Ethics Everyone in Data Science Should Know

97 Things About Ethics Everyone in Data Science Should Know
  • Author : Bill Franks
  • Publisher : O'Reilly Media
  • Release Date : 2020-08-06
  • Total pages : 346
  • ISBN : 012812444X
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Summary : Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In ...

Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications
  • Author : Philipp Kats,David Katz
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-08-30
  • Total pages : 482
  • ISBN : 012812444X
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Summary : Understand the constructs of the Python programming language and use them to build data science projects Key Features Learn the basics of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using data structures, variables, and loops Delve into ...

Leadership in Statistics and Data Science

Leadership in Statistics and Data Science
  • Author : Amanda L. Golbeck
  • Publisher : Springer Nature
  • Release Date : 2021
  • Total pages : 212
  • ISBN : 012812444X
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Summary : This edited collection brings together voices of the strongest thought leaders for diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides both futuristic ideas for promoting opportunities ...

Strategies in Biomedical Data Science

Strategies in Biomedical Data Science
  • Author : Jay A. Etchings
  • Publisher : John Wiley & Sons
  • Release Date : 2017-01-03
  • Total pages : 464
  • ISBN : 012812444X
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Summary : An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more ...

Modern Data Science with R

Modern Data Science with R
  • Author : Benjamin S. Baumer,Daniel T. Kaplan,Nicholas J. Horton
  • Publisher : CRC Press
  • Release Date : 2021-03-31
  • Total pages : 673
  • ISBN : 012812444X
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Summary : From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). ...