877 Episodo

  1. 416: My Advice for Career Success

    Publicado: 6/11/2020

  2. 415: Developing and Maintaining Your Technical and Soft Skills

    Publicado: 5/11/2020

  3. 414: Needs vs. Wants

    Publicado: 30/10/2020

  4. 413: Changing The World With Data

    Publicado: 28/10/2020

  5. 412: Stand More - Sit Less

    Publicado: 23/10/2020

  6. 411: Succeeding in Analytics by Thinking Outside the Data

    Publicado: 21/10/2020

  7. 410: Communicate Your Needs

    Publicado: 16/10/2020

  8. 409: Succeeding & Networking In The Virtual Space

    Publicado: 14/10/2020

  9. 408: Meaning is Everything

    Publicado: 9/10/2020

  10. 407: How to Encourage Diversity in Data Science

    Publicado: 7/10/2020

  11. 406: Abandon Hope

    Publicado: 2/10/2020

  12. 405: The Work of Quants and Data Scientists in the Financial Space

    Publicado: 30/9/2020

  13. 404: The Narrative Arc in Storytelling

    Publicado: 25/9/2020

  14. 403: Gamifying Your Data Science Work and Education

    Publicado: 23/9/2020

  15. 402: Face Your Demons

    Publicado: 18/9/2020

  16. 401: From Data Science Student to Professional

    Publicado: 16/9/2020

  17. 400: Think Bigger

    Publicado: 11/9/2020

  18. 399: Contributing to the Community of Data Scientists

    Publicado: 9/9/2020

  19. 398: Emotional Burnout

    Publicado: 4/9/2020

  20. 397: The Importance of Data Science Literacy

    Publicado: 2/9/2020

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. 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, commercialization, and entrepreneurship − everything you need to crush it with data science.

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