The Democratization of Data Science Education.
Over the last three decades, data have become ubiquitous and cheap. This transition has accelerated over the last five years and training in statistics, machine learning, and data analysis has struggled to keep up. In April 2014, we launched a program of nine courses, the Johns Hopkins Data Science...
| Publicado en: | American Statistician Vol. 74; no. 1; pp. 1 - 8 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Taylor & Francis Ltd
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=141377224&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 141377224 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00031305 STT jtl: American Statistician issn: 00031305 maglogo: Y pubinfo: dt: Feb2020 vid: 74 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 141377224 10.1080/00031305.2019.1668849 ppf: 1 ppct: 7 formats: tig: atl: The Democratization of Data Science Education. aug: au: Kross, Sean Peng, Roger D. Caffo, Brian S. Gooding, Ira Leek, Jeffrey T. affil: Department of Cognitive Science, The University of California San Diego, La Jolla, CA Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Center for Teaching and Learning, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD su: Johns Hopkins University Data science Science education Metadata Democratization sug: subj: Johns Hopkins University Data science Science education Metadata Democratization keyword: Applications and case studies Education Statistical computing Applications and case studies Education Statistical computing ab: Over the last three decades, data have become ubiquitous and cheap. This transition has accelerated over the last five years and training in statistics, machine learning, and data analysis has struggled to keep up. In April 2014, we launched a program of nine courses, the Johns Hopkins Data Science Specialization, which has now had more than 4 million enrollments over the past five years. Here, the program is described and compared to standard data science curricula as they were organized in 2014 and 2015. We show that novel pedagogical and administrative decisions introduced in our program are now standard in online data science programs. The impact of the Data Science Specialization on data science education in the U.S. is also discussed. Finally, we conclude with some thoughts about the future of data science education in a data democratized world. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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