Leading Data Science Teams: A Framework To Help Guide Data Science Project Managers - Jeffrey Saltz

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  • Опубликовано: 21 янв 2025

Комментарии • 8

  • @bidijalaley
    @bidijalaley 4 года назад +5

    Hi Jeffrey, This video has been really awesome and something which I have personally experienced while implementing the Projects related to Machine Learning. It gives me some good ideas which can be adopted or experimented in the Project Management for Data Analytics to get the best out of it. Thanks once again.

    • @jeffsaltz6769
      @jeffsaltz6769 4 года назад

      Very much appreciate the positive feedback! For more information (and additional training), check out www.datascienceprocess.com

  • @nicolasabucharmoya5440
    @nicolasabucharmoya5440 4 года назад

    I’ve worked as a data analyst/scientist in an agile framework for a while, and i had the exact issues that you mentioned. Thanks for the insights!

  • @lamarnash2439
    @lamarnash2439 2 года назад

    Thank you for the video, I hope to start a research company and this is me starting the research.

  • @TheDataScienceChannel
    @TheDataScienceChannel 2 года назад

    Very Informative talk, thank you

  • @MinhNguyen-h9j3v
    @MinhNguyen-h9j3v Год назад

    Great content, any idea on how to get these slides?

  • @ouafahachem4377
    @ouafahachem4377 Год назад

    thank you so much for sharing the talk it was really insightful. I'm a data scientist with three years of experience at an AI startup. I've worked in a small team and gained skills in data analytics, data engineering, data pipeline architecture, model training workflows, reproducibility, and process improvement. Now, I'm interested in leading new data projects and teams. Do the age and number of years of experience matter for such role?

  • @uabresearchcomputing1647
    @uabresearchcomputing1647 5 лет назад +4

    Rigor and reproducibility is huge. This is going to be the next frontier....