TOWARD HOLISTIC DATA SCIENCE EDUCATION
DOI:
https://doi.org/10.52041/serj.v21i2.40Keywords:
Statistics education research, Data science, Data provenance, Human-machine interaction , Data analysis ethics, Problem-solvingAbstract
Holistic data science education places data science in the context of real world applications, emphasizing the purpose for which data were collected, the pedigree of the data, the meaning inherent in the data, the deployiment of sustainable solutions, and the communication of key findings for addressing the original problem. As such it spends less emphasis on coding, computing, and high-end black-box algorithms. We argue that data science education must move toward a holistic curriculum, and we provide examples and reasons for this emphasis.
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