Data Science for Undergraduates: Opportunities and Options
National Academies Of Sciences, Engineering, And Medicine; Division Of Behavioral And Social Sciences And Education; Board On Science Education; Division On Engineering And Physical Sciences; Committee On Applied And Theoretical Statistics; Board On Mathematical Sciences And Analytics; Computer Science And Telecommunications Board; Committee On Envisioning The Data Science Discipline: The Undergraduate Perspective
Language: English
Published by National Academies Press, 2018
- Softcover
- New
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- Title
- Data Science for Undergraduates: Opportunities and Options
- Author
- National Academies Of Sciences, Engineering, And Medicine; Division Of Behavioral And Social Sciences And Education; Board On Science Education; Division On Engineering And Physical Sciences; Committee On Applied And Theoretical Statistics; Board On Mathematical Sciences And Analytics; Computer Science And Telecommunications Board; Committee On Envisioning The Data Science Discipline: The Undergraduate Perspective
- Publisher
- National Academies Press
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0309475597
- ISBN 13
- 9780309475594
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.
"Synopsis" may belong to another edition of this title.
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