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    The minds behind the magic: Meet our data instructors

    Data

    Free

    老虎机游戏
    Thursday, 10 July, 2025
    11 am – 12 pm CDT

    About This Event

    Thinking about expanding your data skills or launching your data career? Join us for a panel discussion where you will meet the instructors who lead and teach our popular data classes. During this session you’ll get an understanding of what gives our instructors the edge, how the GA classroom works, and why learning data skills is a must-have for today’s professional. You’ll also hear about hot trends in data and how AI is making its impact on one of today’s most important fields.

    Takeaways

    • Get an understanding of what makes our instructors special.

    • Learn about the GA classroom experience.

    • Understand what you can expect to gain from learning hot skills.

    About the Instructor

    Vaughn Caldon Photo

    Co Founder, Ballstar

    Vaughn is a Brooklyn born, father of two, serial entrepreneur who is currently on a mission to organize the world's sports data. Before launching his sports data platform Ballstar, Vaughn served as associate director of Alumni affairs for Prep for Prep and later as an Alum Trustee. Using data to build community, make connections, and to better focus fundraising efforts Vaughn is most proud of the work he has done to nurture niche communities of Alums like those in the arts and tech communities. Now Vaughn uses data to bring together the global Basketball community.

    Alex is a data analyst/data scientist that loves his field and puts a passion in everything he does. He has worked with data since 2017 and is a seasoned teacher with previous experience in Finance and Academia, working in both the US and in Europe. As a data analyst instructor and consultant, Alex supports students and clients to develop an understanding of the solutions he is providing and makes sure they can apply the knowledge and tools in the future. This happens via a deep comprehension of the tools and methods employed rather than a repetitive execution of simple procedural steps.

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