DataTalks.Club

166 Episodes

1. Decoding Data Science Job Descriptions - Tereza Iofciu

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 3/25/2022