877 Epizód

  1. 396: Five Job Hunting Tips

    Közzétéve: 2020. 08. 28.

  2. 395: How to Tell Stories with Data

    Közzétéve: 2020. 08. 26.

  3. 394: Teach It

    Közzétéve: 2020. 08. 21.

  4. 393: The Importance of Keeping Science in Data Science

    Közzétéve: 2020. 08. 19.

  5. 392: Start Your Own Morning Ritual

    Közzétéve: 2020. 08. 14.

  6. 391: Data Science Campfire Tales with John Elder

    Közzétéve: 2020. 08. 12.

  7. 390: Perception vs. Emotion

    Közzétéve: 2020. 08. 07.

  8. 389: Becoming Good Enough: Jumpstarting Your Data Science Career

    Közzétéve: 2020. 08. 05.

  9. 388: Get a Headhunter

    Közzétéve: 2020. 07. 31.

  10. 387: Becoming a Data Science Leader

    Közzétéve: 2020. 07. 29.

  11. 386: Cohort Analysis

    Közzétéve: 2020. 07. 24.

  12. 385: Advanced Data Topics and People-Centered Data Science

    Közzétéve: 2020. 07. 22.

  13. 384: 10 Tips to Become a Master Presenter

    Közzétéve: 2020. 07. 17.

  14. 383: You're Not an Imposter, You're Learning: Data Science Journeys

    Közzétéve: 2020. 07. 15.

  15. 382: Manage Cognitive Load in Data Science

    Közzétéve: 2020. 07. 10.

  16. 381: How to Avoid Failing at Digital Transformation

    Közzétéve: 2020. 07. 08.

  17. 380: Data Analyst vs. Data Scientist

    Közzétéve: 2020. 07. 03.

  18. 379: Maelstrom, Chaos, and Mayhem: Guiding Your Data Science Career Path

    Közzétéve: 2020. 07. 01.

  19. 378: Use Your Unconscious Mind

    Közzétéve: 2020. 06. 26.

  20. 377: The Power of Women in STEM

    Közzétéve: 2020. 06. 24.

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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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