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Consortium for Mathematics and its Applications

Product ID: Editorial
Supplementary Print
Undergraduate

Embracing Data Science

Author: Adam Loy


Statistics is running the risk of appearing irrelevant to today's undergraduate students. Today's undergraduate students are familiar with data science projects, and they judge statistics against what they have seen. Statistics, especially at the introductory level, should take inspiration from data science so that statistics is not seen as somehow lesser than data science. I provide a brief overview of data science, outline how introductory statistics courses could take inspiration from data science, and provide references to materials for developing stand-alone data science courses.

©2015 by COMAP, Inc.
The UMAP Journal 36.4
8 pages

Mathematics Topics:

Computer Science, Statistics

Application Areas:

Data Science

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