The Python Foundations seminar emphasizes a hands-on approach and is designed to reach a diverse student population to provide them with the entry-level programming skills required in data science. The creation of the seminar materials has been funded by a three-year federal grant and has followed a systematic approach to enhance the student learning experience and raise student awareness of data science. The seminar materials—structured in three parts: pre-seminar, live seminar, and post-seminar—are licensed under the Creative Commons Attribution-ShareAlike 4.0 International license to encourage adoption by any institution. To foster interest in the seminar, students have the possibility to earn a digital badge attesting to their newly acquired skills.
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Discussing the History of Ideas in a Data Science Seminar
As one part of an NSF-sponsored Data Science Fellowship at Cal Poly, San Luis Obispo, a group of faculty offered a unique one-unit quarter-long seminar on the history of ideas behind the core principles of Data Science. We present an overview of this seminar, its learning objectives, and outcomes and lessons learned.
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- Award ID(s):
- 1924008
- PAR ID:
- 10502362
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education
- Volume:
- 2
- ISBN:
- 9781450394338
- Page Range / eLocation ID:
- 1328 to 1328
- Format(s):
- Medium: X
- Location:
- Toronto ON Canada
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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- https://doi.org/10.1145/3545947.3576274
