The Democratization of Data Science Education
Sean Kross,
Roger D. Peng,
Brian S. Caffo,
Ira Gooding and
Jeffrey T. Leek
The American Statistician, 2020, vol. 74, issue 1, 1-7
Abstract:
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.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2019.1668849 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:74:y:2020:i:1:p:1-7
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20
DOI: 10.1080/00031305.2019.1668849
Access Statistics for this article
The American Statistician is currently edited by Eric Sampson
More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().