Description |
1 online resource (1 PDF file (xviii, 119 pages)) : illustration. |
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text file |
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PDF |
Physical Medium |
polychrome |
Series |
Consensus study report
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Consensus study report.
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Note |
"A consensus study report of the National Academies of Sciences, Engineering, Medicine." |
Bibliography |
Includes bibliographical references. |
Summary |
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. |
Funding |
This activity was supported by Award No. 1626983 from the National Science Foundation (Directorate for Computer and Information Science and Engineering; Directorate for Education and Human Resources; Directorate for Mathematical and Physical Sciences/Division of Mathematical Sciences; and Directorate for Social, Behavioral and Economic Sciences). Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. |
Contents |
Introduction -- Knowledge for data scientists -- Data science eduction -- Starting a data science program -- Evolution and evaluation -- Conclusions -- Appendixes. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Science -- Study and teaching.
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Science -- Study and teaching. |
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Data mining -- Study and teaching.
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Data mining. |
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United States. |
Genre/Form |
Electronic books.
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Technical reports.
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Technical reports.
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Added Author |
National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Mathematical Sciences and Analytics, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics, issuing body.
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National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Science Education, issuing body.
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Other Form: |
Print version: 0309475597 9780309475594 (OCoLC)1036273927 |
ISBN |
9780309475594 |
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0309475597 |
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9780309475600 (electronic book) |
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0309475600 (electronic book) |
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9780309475624 (electronic book) |
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0309475627 (electronic book) |
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