Google Data Scientist: Measure Success on YouTube

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ความคิดเห็น • 12

  • @saatvikagarwal6358
    @saatvikagarwal6358 4 หลายเดือนก่อน

    As a PM aspirant, this has been such a unique way to brainstorm metrics is just beyond me. Wish I found this sooner!!

  • @yaahow
    @yaahow 3 ปีที่แล้ว +3

    For some reason this is one of the most fulfilling videos I've watched on this subject. I work as a data analyst and I'm planning to transition to Product Data Science. Please keep posting similar content 🔥🔥

    • @DataInterview
      @DataInterview  3 ปีที่แล้ว +1

      Thanks Yahow, I know how frustrating it can be to learn product DS stuff so I try to make quality content for yall. -- Dan

  • @ashutosh5890
    @ashutosh5890 2 ปีที่แล้ว +1

    Really nice video bro. Thank you for this. I have been binge watching your channel like a web series :)

  • @jaishreebangalore8634
    @jaishreebangalore8634 3 ปีที่แล้ว +2

    Hi,
    Please share more case studies for product metrics.. any resources you would recommend?🙏🏻

    • @DataInterview
      @DataInterview  3 ปีที่แล้ว

      Thanks Jaishree, you can get access to more product metrics questions at datainterview.com

  • @mojo_heezy
    @mojo_heezy 3 ปีที่แล้ว

    I like this video. I'm currently taking a Data Scientist course and have been binge watching your video playlist. This will definitely prepare me for the upcoming interviews. Thanks for your hardwork in creating these videos. You are changing people's lives/career path and should be proud of it.
    **now that I've commented on TH-cam, would "comment" be one-step closer into a True North Metric for engagement? LOL

  • @TheSUTI86
    @TheSUTI86 3 ปีที่แล้ว

    WOW...Awesome Content

  • @huichen3556
    @huichen3556 3 หลายเดือนก่อน

    should the question be "measure the success Of youtube"?

  • @bassoonatic777
    @bassoonatic777 3 ปีที่แล้ว +2

    Why not likes?

    • @DataInterview
      @DataInterview  3 ปีที่แล้ว +3

      likes could be considered as an active engagement, but likes don't reflect the video length. If a user watches a 20-second video and a 20-minute video, and clicks like on both, it doesn't necessarily reflect the total engagement the spent on the platform.