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Data Science for Undergraduates : Opportunities and Options

By: (Author) Board on Mathematical Sciences and Analytics , (Author) Board on Science Education , (Author) Committee on Applied and Theoretical Statistics , (Author) Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective , (Author) Computer Science and Telecommunications Board , (Author) Division of Behavioral and Social Sciences and Education , (Author) Division on Engineering and Physical Sciences , (Author) and Medicine National Academies of Sciences Engineering

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Ksh 8,100.00

Format: Paperback or Softback

ISBN-10: 0309475597

ISBN-13: 9780309475594

Publisher: National Academies Press

Imprint: National Academies Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 11th, 2018

Print length: 138 Pages

Product Classification: Information technology: general issues

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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. Table of ContentsFront MatterSummary1 Introduction2 Knowledge for Data Scientists3 Data Science Education4 Starting a Data Science Program5 Evolution and Evaluation6 ConclusionsAppendixesAppendix A: Biographies of the CommitteeAppendix B: Meetings and PresentationsAppendix C: Contributing IndividualsAppendix D: Data Science Oath

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