50 Years of Data Science

Stanford University

Indexed incrossref

Abstract

More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science, whose subject of interest was learning from data, or “data analysis.” Ten to 20 years ago, John Chambers, Jeff Wu, Bill Cleveland, and Leo Breiman independently once again urged academic statistics to expand its boundaries beyond the classical domain of theoretical statistics; Chambers called for more emphasis on data preparation and presentation rather than statistical modeling; and Breiman called for emphasis on prediction rather than inference. Cleveland and Wu even suggested the catchy name “data science” for this envisioned…

Citation impact

675
total citations
FWCI
47.24
Percentile
100%
References
65
Citations per year

Authors

1

Topics & keywords

Keywords
  • Big data
  • Subject (documents)
  • Data science
  • Statistics education
  • Computer science
  • Field (mathematics)
  • Presentation (obstetrics)
  • Appropriation
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