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Abstract:
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This project describes a collaborative work across three institutions to develop, implement, and evaluate a series of tutorials and interdisciplinary case studies that incorporate data science and modern statistical methods into the undergraduate curriculum. These materials were successfully incorporated into a variety of blended as well as brick and mortar courses. We believe these activities provide a new pedagogical model for teaching students from all disciplines how to make data-based decisions with relevant, real-world data. These freely available tutorials have improved the ability of our institutions to address the ASA Curriculum Guidelines by providing materials that emphasize 1) facility with programming languages and database systems, 2) the ability to access and manipulate data in various ways, 3) the ability to perform algorithmic problem-solving, 4) experience working with complex data, and 5) the ability to communicate complex statistical methods in basic terms to diverse audiences as well as visualize results in an accessible manner.
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