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    786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

    786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

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    786: The Six Keys to Data Scientists' Success, with Kirill Eremenko

    FromSuper Data Science: ML & AI Podcast with Jon Krohn

    ratings:
    Length:
    27 minutes
    Released:
    May 24, 2024
    Format:
    Podcast episode

    Description

    Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.

    Additional materials: www.superdatascience.com/786

    Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
    Released:
    May 24, 2024
    Format:
    Podcast episode

    Titles in the series (77)

    The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, and commercialization − everything you need to crush it with data science.