Data Science for Undergraduates : Opportunities and Options
by
Board on Mathematical Sciences and Analytics
,
Board on Science Education
,
Committee on Applied and Theoretical Statistics
,
Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective
,
Computer Science and Telecommunications Board
,
Division of Behavioral and Social Sciences and Education
,
Division on Engineering and Physical Sciences
,
and Medicine National Academies of Sciences Engineering
Book Details
Format
Paperback / 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
Ksh 8,100.00
Publisher Out of Stock
Delivery Location
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Secure
Quality
Fast
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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