877 Episodes

  1. 236: How to Deal with Negative Emotions

    Published: 2/15/2019

  2. 235: Living the Dream With Data Science

    Published: 2/14/2019

  3. 234: Data Science in Education

    Published: 2/8/2019

  4. 233: High Octane Data Science Leadership at Red Bull

    Published: 2/7/2019

  5. 232: Sleep on it

    Published: 2/1/2019

  6. 231: Data Visualizers: The Storytellers of Data Science

    Published: 1/31/2019

  7. 230: SuperDataScience 2.0

    Published: 1/25/2019

  8. 229: Data-Driven Approach of Doing Business

    Published: 1/24/2019

  9. 228: Data Science in Mining

    Published: 1/18/2019

  10. 227: Enhancing Your Mobile Gaming Experience With Data Science

    Published: 1/17/2019

  11. 226: Flat Tyres Happen

    Published: 1/11/2019

  12. 225: The Benefit of Having a Diverse Skill Set

    Published: 1/10/2019

  13. 224: Hacks For Reading More Books

    Published: 1/4/2019

  14. 223: Data Science Trends for 2019

    Published: 1/3/2019

  15. SDS 222: 2018 in Numbers

    Published: 12/28/2018

  16. 221: 1-on-1 with Kirill: What I learned in 2018

    Published: 12/27/2018

  17. 220: Data Science in Retail

    Published: 12/21/2018

  18. 219: How Kaplan uses Data for Education

    Published: 12/20/2018

  19. 218: Start A Great Day

    Published: 12/14/2018

  20. 217: Aerospace Engineers and Data Science

    Published: 12/13/2018

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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.