DataTalks.Club

Un pódcast de DataTalks.Club

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166 Episodo

  1. What Data Scientists Don’t Mention in Their LinkedIn Profiles - Yury Kashnitsky

    Publicado: 4/6/2021
  2. Becoming a Data-led Professional - Arpit Choudhury

    Publicado: 28/5/2021
  3. How to Market Yourself (without Being a Celebrity) - Shawn Swyx Wang

    Publicado: 21/5/2021
  4. From Physics to Machine Learning - Tatiana Gabruseva

    Publicado: 14/5/2021
  5. What I Learned After Interviewing 300 Data Scientists - Oleg Novikov

    Publicado: 7/5/2021
  6. Effective Communication with Business for Data Professionals - Lior Barak

    Publicado: 30/4/2021
  7. Data Observability - Barr Moses

    Publicado: 23/4/2021
  8. Shifting Career from Analytics to Data Science - Andrada Olteanu

    Publicado: 16/4/2021
  9. Transitioning from Project Management to Data Science - Ksenia Legostay

    Publicado: 9/4/2021
  10. Building Online Tech Communities - Demetrios Brinkmann

    Publicado: 2/4/2021
  11. DataOps 101 - Lars Albertsson

    Publicado: 26/3/2021
  12. The Essentials of Public Speaking for Career in Data Science - Ben Taylor

    Publicado: 19/3/2021
  13. New Roles and Key Skills to Monetize Machine Learning - Vin Vashishta

    Publicado: 12/3/2021
  14. Personal Branding - Admond Lee Kin Lim

    Publicado: 5/3/2021
  15. The ABC’s of Data Science - Danny Ma

    Publicado: 26/2/2021
  16. Translating ML Predictions Into Better Real-World Results with Decision Optimization - Dan Becker

    Publicado: 19/2/2021
  17. Feature Stores: Cutting through the Hype - Willem Pienaar

    Publicado: 12/2/2021
  18. The Rise of MLOps - Theofilos Papapanagiotou

    Publicado: 5/2/2021
  19. Getting Started with Open Source - Vincent Warmerdam

    Publicado: 29/1/2021
  20. Developer Advocacy for Data Science - Elle O'Brien

    Publicado: 23/1/2021

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