Learning from the past to develop data analysis curricula for the future

Problems with statistical analyses and the shift toward big data have prompted many researchers to call for improvements in statistics education. A recent study in PLOS Biology assesses changes in the use of data analysis techniques over time to determine which skills young scientists might need.

Detalles Bibliográficos
Autor principal: Weissgerber, Tracey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Primer
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324210/
https://www.ncbi.nlm.nih.gov/pubmed/34329307
http://dx.doi.org/10.1371/journal.pbio.3001343
Descripción
Sumario:Problems with statistical analyses and the shift toward big data have prompted many researchers to call for improvements in statistics education. A recent study in PLOS Biology assesses changes in the use of data analysis techniques over time to determine which skills young scientists might need.

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