DataTalks.Club

181 Episodes

1. Defining Success: Metrics and KPIs - Adam Sroka

   Published: 9/17/2021
2. Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

   Published: 9/11/2021
3. Mastering Algorithms and Data Structures - Marcello La Rocca

   Published: 9/3/2021
4. Chief Data Officer - Marco De Sa

   Published: 8/27/2021
5. Freelancing in Machine Learning - Mikio Braun

   Published: 8/20/2021
6. Launching a Startup: From Idea to First Hire - Carmine Paolino

   Published: 8/13/2021
7. Approach Learning as ML Project - Vladimir Finkelshtein [mini]

   Published: 8/6/2021
8. Humans in the Loop - Lina Weichbrodt

   Published: 7/30/2021
9. Running from Complexity - Ben Wilson

   Published: 7/23/2021
10. I Want to Build a Machine Learning Startup! - Elena Samuylova

    Published: 7/16/2021
11. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Published: 7/9/2021
12. Build Your Own Data Pipeline - Andreas Kretz

    Published: 7/2/2021
13. From Software Engineering to Machine Learning - Santiago Valdarrama

    Published: 6/25/2021
14. Analytics Engineer: New Role in a Data Team - Victoria Perez Mola

    Published: 6/18/2021
15. Data Governance - Jessi Ashdown, Uri Gilad

    Published: 6/11/2021
16. What Data Scientists Don’t Mention in Their LinkedIn Profiles - Yury Kashnitsky

    Published: 6/4/2021
17. Becoming a Data-led Professional - Arpit Choudhury

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

    Published: 5/21/2021
19. From Physics to Machine Learning - Tatiana Gabruseva

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

    Published: 5/7/2021