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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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Data Science for All: Apache Spark & Jupyter Notebooks
The Nation's research enterprise faces a shortage of data scientists. Expanding the pipeline of data science students, particularly from underrepresented populations, requires educational institutions to increase awareness of data science and inspire a passion for data in students as they begin their academic careers. In this tutorial we discuss the development and delivery of a free seminar designed to provide hands-on lessons in the use of both Apache Spark and Jupyter notebooks to students from any academic background in an approachable, no-risk environment. An explanation of the seminar resources, exercises, and implementation guidelines are included, as are lessons learned from several successful seminars held both in-person and virtually at two institutions of high education.
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- Award ID(s):
- 1829622
- PAR ID:
- 10325957
- Date Published:
- Journal Name:
- Pre-ICIS SIGDSA Symposium on Analytics and AI for a Sustainable and Resilient Future
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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