Data Science for Undergraduates
Opportunities and Options
Division on Engineering and Physical Sciences author Division of Behavioral and Social Sciences and Education author Computer Science and Telecommunications Board author Board on Science Education author Committee on Applied and Theoretical Statistics author National Academies of Sciences, Engineering, and Medicine author Board on Mathematical Sciences and Analytics author Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective author
Format:Paperback
Publisher:National Academies Press
Published:11th Nov '18
Currently unavailable, and unfortunately no date known when it will be back
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 Contents- Front Matter
- Summary
- 1 Introduction
- 2 Knowledge for Data Scientists
- 3 Data Science Education
- 4 Starting a Data Science Program
- 5 Evolution and Evaluation
- 6 Conclusions
- Appendixes
- Appendix A: Biographies of the Committee
- Appendix B: Meetings and Presentations
- Appendix C: Contributing Individuals
- Appendix D: Data Science Oath <
ISBN: 9780309475594
Dimensions: unknown
Weight: unknown
138 pages