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. Problems with statistical analyses and the shift towards big data have prompted many researchers to call for improvements in statistics education. This Primer explores a recent study in PLOS Biology that assesses changes in the use of data analysis techniques over time to determine which skills young scientists might need. [ABSTRACT FROM AUTHOR]