877 Episodes

  1. 416: My Advice for Career Success

    Published: 11/6/2020

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

    Published: 11/5/2020

  3. 414: Needs vs. Wants

    Published: 10/30/2020

  4. 413: Changing The World With Data

    Published: 10/28/2020

  5. 412: Stand More - Sit Less

    Published: 10/23/2020

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

    Published: 10/21/2020

  7. 410: Communicate Your Needs

    Published: 10/16/2020

  8. 409: Succeeding & Networking In The Virtual Space

    Published: 10/14/2020

  9. 408: Meaning is Everything

    Published: 10/9/2020

  10. 407: How to Encourage Diversity in Data Science

    Published: 10/7/2020

  11. 406: Abandon Hope

    Published: 10/2/2020

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

    Published: 9/30/2020

  13. 404: The Narrative Arc in Storytelling

    Published: 9/25/2020

  14. 403: Gamifying Your Data Science Work and Education

    Published: 9/23/2020

  15. 402: Face Your Demons

    Published: 9/18/2020

  16. 401: From Data Science Student to Professional

    Published: 9/16/2020

  17. 400: Think Bigger

    Published: 9/11/2020

  18. 399: Contributing to the Community of Data Scientists

    Published: 9/9/2020

  19. 398: Emotional Burnout

    Published: 9/4/2020

  20. 397: The Importance of Data Science Literacy

    Published: 9/2/2020

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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.