ABSTRACT
Prerequisites
Read Five ways to fix statistics, (Leek et al. 2017)
Reflections on ways to do data science better.
Read Ten computer codes that transformed science, (Perkel 2021)
Discussion of innovations in computing that underpin data science.
Read Learning from Data Journeys, (Leonelli 2020)
Broad discussion of the role of data in data science.
Read Truth, Proof, and Reproducibility: There's No Counter-Attack for the Codeless, (Gray and Marwick 2019)
Emphasizes the importance of reproducibility in data science.
Watch Science as Amateur Software Development, (McElreath 2020)
Details lessons from software development that are applicable to data science.
