The role of statistics education in the big data era

Research output: Book chapter/Published conference paperConference paperpeer-review


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.
Original languageEnglish
Title of host publicationData Mining. AusDM 2018.
Subtitle of host publicationCommunications in Computer and Information Science
EditorsRafiqul Islam, Yun Sing Koh, Yanchang Zhao, Graco Warwick, David Stirling, Chang-Tsun Li, Zahidul Islam
ISBN (Electronic)9789811366611
ISBN (Print)9789811366604
Publication statusPublished - 16 Feb 2019
Event16th Australasian Data Mining Conference: AusDM 2018 - Charles Sturt University Bathurst, Bathurst, Australia
Duration: 28 Nov 201830 Nov 2018
Conference number: 16th


Conference16th Australasian Data Mining Conference
OtherThe Australasian Data Mining Conference (AusDM) has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It is devoted to the art and science of intelligent analysis of (usually big) data sets for meaningful (and previously unknown) insights. This conference will enable the sharing and learning of research and progress in the local context and new breakthroughs in data mining algorithms and their applications across all industries.
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