Journal article
Big data and data science: what should we teach?
Expert systems, v 33(4), pp 364-373
01 Aug 2016
Abstract
The era of big data has arrived. Big data bring us the data-driven paradigm and enlighten us to challenge new classes of problems we were not able to solve in the past. We are beginning to see the impacts of big data in every aspect of our lives and society. We need a science that can address these big data problems. Data science is a new emerging discipline that was termed to address challenges that we are facing and going to face in the big data era. Thus, education in data science is the key to success, and we need concrete strategies and approaches to better educate future data scientists. In this paper, we discuss general concepts on big data, data science, and data scientists and show the results of an extensive survey on current data science education in United States. Finally, we propose various approaches that data science education should aim to accomplish.
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Details
- Title
- Big data and data science: what should we teach?
- Creators
- Il-Yeol Song - Drexel UniversityYongjun Zhu - Drexel University
- Publication Details
- Expert systems, v 33(4), pp 364-373
- Publisher
- Wiley
- Number of pages
- 10
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000383685500005
- Scopus ID
- 2-s2.0-84944104323
- Other Identifier
- 991019168281704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Theory & Methods