877 Episodes

  1. 316: Make It About Yourself

    Published: 11/22/2019

  2. 315: Making Data Accessible

    Published: 11/21/2019

  3. 314: Meet the Team

    Published: 11/15/2019

  4. 313: The Power of Online Data Education

    Published: 11/14/2019

  5. 312: Contemplation

    Published: 11/8/2019

  6. 311: Using Data Right In Smart Cities

    Published: 11/7/2019

  7. 310: Trial by Fire

    Published: 11/1/2019

  8. 309: Learning Through Competition

    Published: 10/30/2019

  9. 308: Your Tribe

    Published: 10/25/2019

  10. 307: Problem Solving Through Better Thinking

    Published: 10/23/2019

  11. 306: Pura Vida

    Published: 10/18/2019

  12. 305: Using Data Visualization Tools

    Published: 10/16/2019

  13. 304: The Law of Attraction

    Published: 10/11/2019

  14. 303: Proper Hypothesis Testing For Every Field

    Published: 10/9/2019

  15. 302: What is Data Science to you?

    Published: 10/4/2019

  16. 301: Finding Your Edge

    Published: 10/2/2019

  17. 300: Legacy

    Published: 9/27/2019

  18. 299: Becoming Seasoned At Failure

    Published: 9/25/2019

  19. 298: The Six Months Rule

    Published: 9/20/2019

  20. 297: Fortitude & Passion in the Data Science Journey

    Published: 9/18/2019

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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.