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Readings in applied data science
...The reading list focuses on applied topics that the instructor considered important but often underrepresented in traditional data science curricula. Subjects include data collection, collaboration, software engineering, DevOps, teaching, reproducibility, ethics, careers, industry practice, and workflow design. Students also wrote short weekly responses intended to connect readings with their own knowledge and experience. The repository preserves course materials, discussion resources, and student-created annotated bibliographies. It functions as a curated applied-data-science reading archive rather than a programming library.
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