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Join this expert panel discussion featuring leading educators Nathan Alexander, Mine Çetinkaya-Rundel, Tammy Kolda, and Rachel Levy as they explore strategies for effectively teaching the mathematical foundations of data science. Discover insights on writing impactful and accessible textbooks that bridge complex mathematical concepts with practical applications. Learn about designing engaging and rigorous mathematics courses that prepare students for data-driven careers, while exploring approaches to building cross-university curricular programs that foster collaboration and innovation. Gain valuable perspectives on preparing students for the future of data-driven decision-making across industries. Explore how to make mathematics education more relevant, dynamic, and aligned with the evolving demands of the data science field, whether you're an educator seeking to enhance your curriculum, a student navigating mathematical foundations, or a data professional interested in educational approaches to the discipline.
