DataFramed

Un pódcast de DataCamp - Lunes

Categorías:

125 Episodo

  1. #65 Preventing Fraud in eCommerce with Data Science

    Publicado: 28/6/2021
  2. #64 Creating Trust in Data with Data Observabilty

    Publicado: 14/6/2021
  3. #63 The Past and Present of Data Science

    Publicado: 31/5/2021
  4. #62 From Predictions to Decisions

    Publicado: 17/5/2021
  5. #61 Creating Smart Cities with Data Science

    Publicado: 3/5/2021
  6. New DataFramed Episodes

    Publicado: 26/4/2021
  7. #60 Data Privacy in the Age of COVID-19

    Publicado: 15/5/2020
  8. #59 Data Science R&D at TD Ameritrade

    Publicado: 1/4/2019
  9. #58 Critical Thinking in Data Science

    Publicado: 25/3/2019
  10. #57 The Credibility Crisis in Data Science

    Publicado: 18/3/2019
  11. #56 Data Science at AT&T Labs Research

    Publicado: 11/3/2019
  12. #55 Getting Your First Data Science Job

    Publicado: 4/3/2019
  13. #54 Women in Data Science

    Publicado: 25/2/2019
  14. #53 Data Science, Gambling and Bookmaking

    Publicado: 18/2/2019
  15. #52 Data Science at the BBC

    Publicado: 11/2/2019
  16. #51 Inclusivity and Data Science

    Publicado: 4/2/2019
  17. #50 Weapons of Math Destruction

    Publicado: 26/11/2018
  18. #49 Data Science Tool Building

    Publicado: 19/11/2018
  19. #48 Managing Data Science Teams

    Publicado: 12/11/2018
  20. #47 Human-centered Design in Data Science

    Publicado: 5/11/2018

4 / 7

DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-driven decisions in your organization, you’ve found the right community. Welcome to DataFramed!

Visit the podcast's native language site