DataTalks.Club

166 Episodo

1. Decoding Data Science Job Descriptions - Tereza Iofciu

   Publicado: 5/8/2022
2. Data Science for Social Impact - Christine Cepelak

   Publicado: 29/7/2022
3. Hiring Data Science Talent - Olga Ivina

   Publicado: 22/7/2022
4. From Open-Source Maintainer to Founder - Will McGugan

   Publicado: 15/7/2022
5. Designing a Data Science Organization - Lisa Cohen

   Publicado: 8/7/2022
6. Developer Advocacy Engineer for Open-Source - Merve Noyan

   Publicado: 1/7/2022
7. Data Scientists at Work - Mısra Turp

   Publicado: 24/6/2022
8. Freelancing and Consulting with Data Engineering - Adrian Brudaru

   Publicado: 17/6/2022
9. Getting a Data Engineering Job (Summary and Q&A) - Jeff Katz

   Publicado: 10/6/2022
10. Using Data for Asteroid Mining - Daynan Crull

    Publicado: 3/6/2022
11. Machine Learning in Marketing - Juan Orduz

    Publicado: 27/5/2022
12. From Academia to Data Analytics and Engineering - Gloria Quiceno

    Publicado: 20/5/2022
13. Teaching Data Engineers - Jeff Katz

    Publicado: 13/5/2022
14. From Roasting Coffee to Backend Development - Jessica Greene

    Publicado: 6/5/2022
15. Recruiting Data Engineers - Nicolas Rassam

    Publicado: 29/4/2022
16. Storytime for DataOps - Christopher Bergh

    Publicado: 22/4/2022
17. Machine Learning and Personalization in Healthcare - Stefan Gudmundsson

    Publicado: 15/4/2022
18. Innovation and Design for Machine Learning - Liesbeth Dingemans

    Publicado: 8/4/2022
19. Hacking Your Data Career - Marijn Markus

    Publicado: 1/4/2022
20. Visualising Machine Learning - Meor Amer

    Publicado: 25/3/2022