181 Episodo

  1. Defining Success: Metrics and KPIs - Adam Sroka

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 7/5/2021

8 / 10

DataTalks.Club - the place to talk about data!

Visit the podcast's native language site