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Alan Liang
Anthony Suen
National Advancement of Data Science Education
We outline a synthesis of strategies created in collaboration with 36 colleges and universities on how to advance undergraduate data science education on a national scale. The five core pillars of this strategy include the integration of data science education across all domains, establishing adoptable and scalable cyberinfrastructure, resolving obstacles in creating data science programs, incorporating ethical content into data science curricula, and forming a national data science pedagogy community of practice. Following these steps will form the basis of a scalable data science education system that prepares undergraduate students with analytical skills for a data-centric world.
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