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Statistikausbildung in Zeiten von Big Data
[Statistical education in times of Big Data]

Author

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  • Markus Zwick

    (Statistisches Bundesamt)

Abstract

Zusammenfassung Mit den permanent wachsenden digitalen Datenbeständen, umgangssprachlich als Big Data bezeichnet, verändern sich auch die Anforderungen an Datenproduzenten und Datenanalysten. Dies führt u. v. a. zu der Diskussion, welche Fertigkeiten und Kompetenzen künftig von Statistikern erwartet werden. Data Scientist bzw. iStatistician sind die Schlagworte für eine weiterzuentwickelnde statistische Ausbildung. Big Data, aber auch die damit einhergehenden neuen technischen Möglichkeiten, verändern die Lehre und Ausbildung. Der folgende Aufsatz formuliert einige Thesen zu diesen Veränderungen.

Suggested Citation

  • Markus Zwick, 2016. "Statistikausbildung in Zeiten von Big Data [Statistical education in times of Big Data]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 127-139, October.
    • Handle: RePEc:spr:astaws:v:10:y:2016:i:2:d:10.1007_s11943-016-0185-1
    DOI: 10.1007/s11943-016-0185-1
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    References listed on IDEAS

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    1. Markus Zwick, 2008. "CAMPUS-Files – Kostenfreie Public Use Files für die Lehre," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 2(1), pages 175-188, August.
    2. Braaksma, Barteld & Zeelenberg, Kees, 2015. "“Re-make/Re-model”: Should big data change the modelling paradigm in official statistics?," MPRA Paper 87741, University Library of Munich, Germany.
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    Citations

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    Cited by:

    1. Björn Christensen, 2019. "Anforderungen an eine Statistik-Ausbildung im 21. Jahrhundert vor dem Hintergrund von Statistical (Il‑)Literacy [Demands placed on statistics training in the 21st century against the backdrop of st," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(3), pages 193-201, November.
    2. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    3. Ralf Thomas Münnich & Markus Zwick, 2016. "Big Data und was nun? Neue Datenbestände und ihre Auswirkungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 73-77, October.

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