Couverture de ChatADS

ChatADS

ChatADS

De : MS in Applied Data Science
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 ChatADS is a podcast from the University of Chicago’s MS in Applied Data Science program exploring how data science is used in the real world. Hosted by Daniel Truesdale, Director of Enrollment Management & Analytics, the show features candid conversations with faculty, students, alumni, and industry professionals. Episodes cover real-world applications, career paths, ethical considerations, and emerging trends shaping the future of data science.MS in Applied Data Science Science
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    Épisodes
    • Data Science: Beyond the Classroom

      Data Science: Beyond the Classroom
      Feb 4 2026

      In the first episode of ChatADS, Daniel Truesdale sits down with MS in Applied Data Science graduate Steve Veldman to talk about what applied data science looks like beyond the classroom. They discuss how AI is actually built and used in industry, from open-source tradeoffs and intellectual property to computer vision, ethics, and the skills students should focus on as they prepare for real-world data science work.
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      38 min
    • What to Expect from ChatADS

      What to Expect from ChatADS
      Jan 16 2026

      In this introductory episode of ChatADS, host Daniel Truesdale shares why the podcast was created and what listeners can expect from future episodes. From applied data science and AI in practice to ethics, careers, and real-world decision-making, ChatADS brings thoughtful conversations with students, alumni, faculty, and industry leaders to the forefront.
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      7 min
    • Introducing ChatADS

      Introducing ChatADS
      Jan 9 2026

      In this short promo episode, host Daniel Truesdale introduces ChatADS, a podcast from the University of Chicago’s MS in Applied Data Science program. Learn what the podcast is about, who it’s for, and what listeners can expect in upcoming episodes—featuring conversations with faculty, students, alumni, and industry professionals on real-world data science, careers, and emerging trends.
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      1 min
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