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The Role of Statistics Education in the Big Data Era

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Book cover Data Mining (AusDM 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 996))

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Abstract

With the increasing availability and trendiness of “big data”, data science has become a fast growing discipline. Data analysis techniques are shifting from classical statistical inferences to algorithmic machine learnings. Will the rise of data science lead to the fall of statistics? If education is the key to defend statistics as a discipline, what should statisticians teach to respond to the challenges brought by big data? This paper aims to provide the current situation of data science and statistics programs within the higher education sector in Australia and some personal thoughts on statistics education in this era.

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Acknowledgement

Helpful comments from three reviewers are greatly appreciated.

Author information

Authors and Affiliations

  1. School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW, 2650, Australia

    Ryan H. L. Ip

Authors
  1. Ryan H. L. Ip
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Correspondence to Ryan H. L. Ip .

Editor information

Editors and Affiliations

  1. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  2. University of Auckland, Auckland, New Zealand

    Yun Sing Koh

  3. CSIRO Scientific Computing, Canberra, Australia

    Yanchang Zhao

  4. Data Science and Engineering, Australian Taxation Office, Canberra, Australia

    Graco Warwick

  5. Department of Information Technology, University of Wollongong, Wollongong, NSW, Australia

    David Stirling

  6. School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia

    Chang-Tsun Li

  7. School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia

    Zahidul Islam

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Ip, R.H.L. (2019). The Role of Statistics Education in the Big Data Era. In: Islam, R., et al. Data Mining. AusDM 2018. Communications in Computer and Information Science, vol 996. Springer, Singapore. https://doi.org/10.1007/978-981-13-6661-1_22

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  • DOI: https://doi.org/10.1007/978-981-13-6661-1_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6660-4

  • Online ISBN: 978-981-13-6661-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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