The role of statistics education in the big data era

Ryan Ip

doi:10.1007/978-981-13-6661-1_22

The role of statistics education in the big data era

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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.

Original language	English
Title of host publication	Data Mining. AusDM 2018.
Subtitle of host publication	Communications in Computer and Information Science
Editors	Rafiqul Islam, Yun Sing Koh, Yanchang Zhao, Graco Warwick, David Stirling, Chang-Tsun Li, Zahidul Islam
Publisher	Springer
Pages	281-288
Volume	996
ISBN (Electronic)	9789811366611
ISBN (Print)	9789811366604
DOIs	https://doi.org/10.1007/978-981-13-6661-1_22
Publication status	Published - 16 Feb 2019
Event	16th Australasian Data Mining Conference: AusDM 2018 - Charles Sturt University Bathurst, Bathurst, Australia Duration: 28 Nov 2018 → 30 Nov 2018 Conference number: 16th http://ausdm18.ausdm.org/

Conference

Conference	16th Australasian Data Mining Conference
Country/Territory	Australia
City	Bathurst
Period	28/11/18 → 30/11/18
Other	The 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.
Internet address	http://ausdm18.ausdm.org/

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10.1007/978-981-13-6661-1_22

Cite this

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title = "The role of statistics education in the big data era",

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.",

keywords = "Statistics teaching, Data science, Small data",

author = "Ryan Ip",

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doi = "10.1007/978-981-13-6661-1_22",

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booktitle = "Data Mining. AusDM 2018.",

publisher = "Springer",

address = "United States",

note = "16th Australasian Data Mining Conference : AusDM 2018 ; Conference date: 28-11-2018 Through 30-11-2018",

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Ip, R 2019, The role of statistics education in the big data era. in R Islam, YS Koh, Y Zhao, G Warwick, D Stirling, C-T Li & Z Islam (eds), Data Mining. AusDM 2018.: Communications in Computer and Information Science. vol. 996, Springer, pp. 281-288, 16th Australasian Data Mining Conference, Bathurst, New South Wales, Australia, 28/11/18. https://doi.org/10.1007/978-981-13-6661-1_22

The role of statistics education in the big data era. / Ip, Ryan.
Data Mining. AusDM 2018.: Communications in Computer and Information Science. ed. / Rafiqul Islam; Yun Sing Koh; Yanchang Zhao; Graco Warwick; David Stirling; Chang-Tsun Li; Zahidul Islam. Vol. 996 Springer, 2019. p. 281-288.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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AB - 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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KW - Small data

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PB - Springer

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The role of statistics education in the big data era

Abstract

Conference

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