Kaleidoscopic Perspectives on Practicum-Based Data Science Education

Shuang Frost, Aleksandrina Goeva, Javin Pombra, William Seaton, Sara Stoudt, Ana Trisovic, Chris Wang, Catherine Zucker

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKommentar/debat/letter to the editorForskning

Abstract

The acquisition of practical data science skills is at the forefront of our minds as Early Career Board members. We come from a variety of professional backgrounds and have learned practical skills in different ways, some of which were more effective than others. Through their description of Boston University’s M.S. in Statistical Practice (MSSP) program, Kolaczyk et al. (“Statistics Practicum: Placing ‘Practice’ at the Center of Data Science Education,” this issue) inspired us to consider our own experiences with practical learning and how well it worked for our individual career goals. The perspectives below summarize our discussions on the utility, attraction, and value of a practicum-based data science education.
OriginalsprogEngelsk
TidsskriftHarvard Data Science Review
Vol/bind3
Nummer1
DOI
StatusUdgivet - feb. 2021
Udgivet eksterntJa

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