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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.
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2021
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Materias: | |
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 |
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author | Weissgerber, Tracey L. |
author_facet | Weissgerber, Tracey L. |
author_sort | Weissgerber, Tracey L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8324210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83242102021-07-31 Learning from the past to develop data analysis curricula for the future Weissgerber, Tracey L. PLoS Biol Primer 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. Public Library of Science 2021-07-30 /pmc/articles/PMC8324210/ /pubmed/34329307 http://dx.doi.org/10.1371/journal.pbio.3001343 Text en © 2021 Tracey L. Weissgerber https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Primer Weissgerber, Tracey L. Learning from the past to develop data analysis curricula for the future |
title | Learning from the past to develop data analysis curricula for the future |
title_full | Learning from the past to develop data analysis curricula for the future |
title_fullStr | Learning from the past to develop data analysis curricula for the future |
title_full_unstemmed | Learning from the past to develop data analysis curricula for the future |
title_short | Learning from the past to develop data analysis curricula for the future |
title_sort | learning from the past to develop data analysis curricula for the future |
topic | Primer |
url | 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 |
work_keys_str_mv | AT weissgerbertraceyl learningfromthepasttodevelopdataanalysiscurriculaforthefuture |