Title
Setting the stage for data science: integration of data management skills in introductory and second courses in statistics
Contributors
Creator: Horton, Nicholas J. (Amherst College. Department of Mathematics and Statistics)
Creator: Baumer, Benjamin (Smith College. Department of Mathematics and Statistics)
Creator: Wickham, Hadley (Rice University. Department of Statistics)
Creator: Baumer, Benjamin (Smith College. Department of Mathematics and Statistics)
Creator: Wickham, Hadley (Rice University. Department of Statistics)
Genre
Publication Information
Author's Final Version
Date Issued
2015-04
Note
Final published version appeared in CHANCE.
Abstract
Many have argued that statistics students need additional facility to express statistical computations. By introducing students to commonplace tools for data management, visualization, and reproducible analysis in data science, and applying these to real-world scenarios, we prepare them to think statistically. In an era of increasingly big data, it is imperative that students develop data-related capacities, beginning with the introductory course. We believe that the integration of these precursors to data science into our curricula—early and often—will help statisticians be part of the dialogue regarding Big Data and Big Questions.
Subject
Identifier (DOI)
10.1080/09332480.2015.1042739
Language
English
Files referenced in this Digital Object
- Download Horton_2015_settingthestage.pdf
- Download Horton_2015_settingthestage.pdf
- Download Horton_2015_settingthestage.pdf
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