DataTalks.Club

A podcast by DataTalks.Club

Categorie:

166 Episodio

  1. Decoding Data Science Job Descriptions - Tereza Iofciu

    Pubblicato: 05/08/2022
  2. Data Science for Social Impact - Christine Cepelak

    Pubblicato: 29/07/2022
  3. Hiring Data Science Talent - Olga Ivina

    Pubblicato: 22/07/2022
  4. From Open-Source Maintainer to Founder - Will McGugan

    Pubblicato: 15/07/2022
  5. Designing a Data Science Organization - Lisa Cohen

    Pubblicato: 08/07/2022
  6. Developer Advocacy Engineer for Open-Source - Merve Noyan

    Pubblicato: 01/07/2022
  7. Data Scientists at Work - Mısra Turp

    Pubblicato: 24/06/2022
  8. Freelancing and Consulting with Data Engineering - Adrian Brudaru

    Pubblicato: 17/06/2022
  9. Getting a Data Engineering Job (Summary and Q&A) - Jeff Katz

    Pubblicato: 10/06/2022
  10. Using Data for Asteroid Mining - Daynan Crull

    Pubblicato: 03/06/2022
  11. Machine Learning in Marketing - Juan Orduz

    Pubblicato: 27/05/2022
  12. From Academia to Data Analytics and Engineering - Gloria Quiceno

    Pubblicato: 20/05/2022
  13. Teaching Data Engineers - Jeff Katz

    Pubblicato: 13/05/2022
  14. From Roasting Coffee to Backend Development - Jessica Greene

    Pubblicato: 06/05/2022
  15. Recruiting Data Engineers - Nicolas Rassam

    Pubblicato: 29/04/2022
  16. Storytime for DataOps - Christopher Bergh

    Pubblicato: 22/04/2022
  17. Machine Learning and Personalization in Healthcare - Stefan Gudmundsson

    Pubblicato: 15/04/2022
  18. Innovation and Design for Machine Learning - Liesbeth Dingemans

    Pubblicato: 08/04/2022
  19. Hacking Your Data Career - Marijn Markus

    Pubblicato: 01/04/2022
  20. Visualising Machine Learning - Meor Amer

    Pubblicato: 25/03/2022

5 / 9

DataTalks.Club - the place to talk about data!

Visit the podcast's native language site