877 Episodio

  1. 396: Five Job Hunting Tips

    Pubblicato: 28/08/2020

  2. 395: How to Tell Stories with Data

    Pubblicato: 26/08/2020

  3. 394: Teach It

    Pubblicato: 21/08/2020

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

    Pubblicato: 19/08/2020

  5. 392: Start Your Own Morning Ritual

    Pubblicato: 14/08/2020

  6. 391: Data Science Campfire Tales with John Elder

    Pubblicato: 12/08/2020

  7. 390: Perception vs. Emotion

    Pubblicato: 07/08/2020

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

    Pubblicato: 05/08/2020

  9. 388: Get a Headhunter

    Pubblicato: 31/07/2020

  10. 387: Becoming a Data Science Leader

    Pubblicato: 29/07/2020

  11. 386: Cohort Analysis

    Pubblicato: 24/07/2020

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

    Pubblicato: 22/07/2020

  13. 384: 10 Tips to Become a Master Presenter

    Pubblicato: 17/07/2020

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

    Pubblicato: 15/07/2020

  15. 382: Manage Cognitive Load in Data Science

    Pubblicato: 10/07/2020

  16. 381: How to Avoid Failing at Digital Transformation

    Pubblicato: 08/07/2020

  17. 380: Data Analyst vs. Data Scientist

    Pubblicato: 03/07/2020

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

    Pubblicato: 01/07/2020

  19. 378: Use Your Unconscious Mind

    Pubblicato: 26/06/2020

  20. 377: The Power of Women in STEM

    Pubblicato: 24/06/2020

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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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