DataFramed

Un pódcast de DataCamp - Lunes

Lunes

Categorías:

125 Episodo

  1. #46 AI in Healthcare, an Insider's Account

    Publicado: 29/10/2018
  2. #45 Decision Intelligence and Data Science

    Publicado: 22/10/2018
  3. #44 Project Jupyter and Interactive Computing

    Publicado: 15/10/2018
  4. #43 Election Forecasting and Polling

    Publicado: 8/10/2018
  5. #42 Full Stack Data Science

    Publicado: 1/10/2018
  6. #41 Uncertainty in Data Science

    Publicado: 24/9/2018
  7. #40 Becoming a Data Scientist

    Publicado: 17/9/2018
  8. #39 Data Science at Stitch Fix

    Publicado: 10/9/2018
  9. #38 Data Products, Dashboards and Rapid Prototyping

    Publicado: 3/9/2018
  10. #37 Data Science and Insurance

    Publicado: 27/8/2018
  11. #36 Data Science and Ecology

    Publicado: 20/8/2018
  12. #35 Data Science in Finance

    Publicado: 13/8/2018
  13. #34 Data Journalism & Interactive Visualization

    Publicado: 6/8/2018
  14. #33 Pharmaceuticals and Data Science

    Publicado: 30/7/2018
  15. #32 Data Science at Doctors without Borders

    Publicado: 23/7/2018
  16. #31 Chatbots, Conversational Software & Data Science

    Publicado: 16/7/2018
  17. #30 Data Science at McKinsey

    Publicado: 9/7/2018
  18. #29 Machine Learning & Data Science at Github

    Publicado: 2/7/2018
  19. #28 Organizing Data Science Teams

    Publicado: 25/6/2018
  20. #27 Data Security, Data Privacy and the GDPR

    Publicado: 18/6/2018

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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!

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