Data Science is today one of the main buzzwords, be it in business, industrial or academic settings. Machine learning, experimental design, data-driven modelling are all, undoubtedly, rising disciplines if one goes by the soaring number of research papers and patents appearing each year. The prospect of becoming a “Data Scientist” appeals to many. A discussion panel organised as part of the European Data Science Conference (European Association for Data Science (EuADS)) https://euads.org/edsc/ asked the question: “What makes Data Science different?” In this paper, we give our own, personal and multi-faceted view on this question, from a Statistics and an Engineering perspective. In particular, we compare Data Science to Statistics and discuss the connection between Data Science and Computational Sciences.
CITATION STYLE
Ley, C., & Bordas, S. P. A. (2018). What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences. International Journal of Data Science and Analytics, 6(3), 167–175. https://doi.org/10.1007/s41060-017-0090-x
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