877 Epizód

  1. 416: My Advice for Career Success

    Közzétéve: 2020. 11. 06.

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

    Közzétéve: 2020. 11. 05.

  3. 414: Needs vs. Wants

    Közzétéve: 2020. 10. 30.

  4. 413: Changing The World With Data

    Közzétéve: 2020. 10. 28.

  5. 412: Stand More - Sit Less

    Közzétéve: 2020. 10. 23.

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

    Közzétéve: 2020. 10. 21.

  7. 410: Communicate Your Needs

    Közzétéve: 2020. 10. 16.

  8. 409: Succeeding & Networking In The Virtual Space

    Közzétéve: 2020. 10. 14.

  9. 408: Meaning is Everything

    Közzétéve: 2020. 10. 09.

  10. 407: How to Encourage Diversity in Data Science

    Közzétéve: 2020. 10. 07.

  11. 406: Abandon Hope

    Közzétéve: 2020. 10. 02.

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

    Közzétéve: 2020. 09. 30.

  13. 404: The Narrative Arc in Storytelling

    Közzétéve: 2020. 09. 25.

  14. 403: Gamifying Your Data Science Work and Education

    Közzétéve: 2020. 09. 23.

  15. 402: Face Your Demons

    Közzétéve: 2020. 09. 18.

  16. 401: From Data Science Student to Professional

    Közzétéve: 2020. 09. 16.

  17. 400: Think Bigger

    Közzétéve: 2020. 09. 11.

  18. 399: Contributing to the Community of Data Scientists

    Közzétéve: 2020. 09. 09.

  19. 398: Emotional Burnout

    Közzétéve: 2020. 09. 04.

  20. 397: The Importance of Data Science Literacy

    Közzétéve: 2020. 09. 02.

24 / 44

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.

Visit the podcast's native language site