77 Episoade

  1. Data Visualizations Could Be the Difference Between Your Data Insights Getting Heard or Ignored

    Publicat: 15.12.2023
  2. Bridging the Gap Between Data Science and Business

    Publicat: 17.11.2023
  3. Mastering the Art of Data Visualization with Nadieh Bremer

    Publicat: 03.11.2023
  4. Turning Chaos Into Clarity: The Underrated Value of Data Cleaning

    Publicat: 20.10.2023
  5. Navigating Ethical AutoML, Agile Data Science, and AI Job Frontiers with Favio Vazquez

    Publicat: 06.10.2023
  6. Data, Design, and Accessibility with Amy Cesal

    Publicat: 22.09.2023
  7. Data Visualization Strategies & Best Practices with Jonathan Schwabish

    Publicat: 12.09.2023
  8. Cracking the Code on Airline Loyalty Programs

    Publicat: 04.08.2023
  9. Unlocking the Power of Data with Creativity and Visualization Techniques

    Publicat: 21.07.2023
  10. Throwback: Data Science in Action: Insights from a Leading Textbook Author and Case Studies

    Publicat: 10.07.2023
  11. How to Build a Stand-Out Tech Resume with Risesmart

    Publicat: 23.06.2023
  12. Navigating the Emergence of Generative AI and Data Trends with Natalia Shuliak

    Publicat: 09.06.2023
  13. Tell Your Data Story with Insights from a Data Viz Expert

    Publicat: 19.05.2023
  14. Help Customers Engage With Your Brand With Data-Driven Personas

    Publicat: 05.05.2023
  15. Getting Exec Buy-In on Data Analytics

    Publicat: 21.04.2023
  16. Using The Right Strategy to Transform Raw Data Into Business Gold

    Publicat: 07.04.2023
  17. Data Science Bootcamp Cost & Financing 101

    Publicat: 17.03.2023
  18. Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams

    Publicat: 03.03.2023
  19. Bridging the Great Divide Between Data Teams and Business Leaders with Jeremy Adamson

    Publicat: 03.02.2023
  20. Data Science Ethics: What it Means and Why it Matters

    Publicat: 20.01.2023

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Pragmatic Institute‘s data podcast, where we cover emerging and relevant topics in data science, data analytics, data engineering and pretty much all things data.

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