Data36 Data Science Podcast

Podcast készítő Tomi Mester

Kategóriák:

12 Epizód

  1. How did you become a Data Scientist? with Zoltan Prekopcsak (VP of Data Science @Prezi)

    Közzétéve: 2020. 11. 28.
  2. How to Find a Data Science Mentor (3 Tips)

    Közzétéve: 2020. 10. 30.
  3. Is R required for Data Science? (my opinion)

    Közzétéve: 2020. 10. 20.
  4. What MACHINE LEARNING algorithms should an aspiring data scientist learn and practice more?

    Közzétéve: 2020. 10. 16.
  5. About Soft Skills (presentation skills, people skills, pm skills)

    Közzétéve: 2020. 10. 13.
  6. DOMAIN KNOWLEDGE: Is it Important for a Data Scientist?

    Közzétéve: 2020. 10. 10.
  7. BIG DATA: Should an Aspiring Data Scientist Learn More About It? (NO)

    Közzétéve: 2020. 10. 08.
  8. What Does a Data Scientist's Day Look Like?

    Közzétéve: 2020. 10. 07.
  9. Is Data Science Hard? 4 Untold Truths about Learning Data Science

    Közzétéve: 2020. 10. 01.
  10. Why You Shouldn't Go to Casinos... (3 Statistical Concepts)

    Közzétéve: 2020. 09. 20.
  11. What is Data Science?

    Közzétéve: 2020. 07. 29.
  12. Data36 Data Science Podcast (intro episode)

    Közzétéve: 2020. 07. 29.

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You might be an aspiring or junior data professional, a small business owner looking forward to being more data-driven, or someone who's just generally interested in data science… Either way, if you have just started your journey with data science, this is the right podcast for you!

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