Abstract
The examination of data science as a workflow is yet another facet of data science. In this chapter we elaborate on the data science workflow from an educational perspective. First, we present several approaches to the data science workflow (Sect. 10.1), following which we elaborate on the pedagogical aspects of the different phases of the workflow: data collection (Sect. 10.2), data preparation (Sect. 10.3), exploratory data analysis (Sect. 10.4), modeling (Sect. 10.5), and communication and action (Sect. 10.6). We conclude with an interdisciplinary perspective on the data science workflow (Sect. 10.7).
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Hazzan, O., Mike, K. (2023). The Data Science Workflow. In: Guide to Teaching Data Science. Springer, Cham. https://doi.org/10.1007/978-3-031-24758-3_10
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DOI: https://doi.org/10.1007/978-3-031-24758-3_10
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