Data Science Jobs Explained in 5 Minutes

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  • Опубліковано 22 гру 2024

КОМЕНТАРІ • 31

  • @365DataScience
    @365DataScience  2 роки тому

    🚀Sign up for Our Complete Data Science Training with 57% OFF: bit.ly/3sGBk7a

  • @TinaHuang1
    @TinaHuang1 2 роки тому +14

    This is so comprehensive and in 5 minutes!! 👏👏

    • @paulemmanuel7398
      @paulemmanuel7398 2 роки тому

      Hey Tina. Happy to see you. I've been missing your videos. Totally rooting for you.

  • @1243576891
    @1243576891 Рік тому +2

    This video is underrated. Pretty informative and concise!

  • @gbanaibolouburutolu6476
    @gbanaibolouburutolu6476 2 роки тому +1

    Fantastic video! Well-explained. I would like to see a comprehensive Data Strategy course.

  • @Boat-xs8lm
    @Boat-xs8lm Місяць тому

    Thank you for this lovely video

  • @hackerman5764
    @hackerman5764 2 роки тому

    Basically, your job as a data role is to implement the technical means used to figure out which schemes, gimmicks, software features, etc increase sales/revenue by some small percentage.

  • @georgikrustev2179
    @georgikrustev2179 2 роки тому +3

    Great video

  • @vick7oria
    @vick7oria 2 роки тому +1

    Thanks for the amazing video! It's great how much information you deliver under 5 minutes! 🤯 Please, keep this format. I'm obsessed with it. 😍

    • @lbognini
      @lbognini 2 роки тому

      This is tupid.

    • @vick7oria
      @vick7oria 2 роки тому +1

      @@lbognini thank you for your opinion. You might be a professional in this area, but I am not and I find this video very helpful. 😊
      I wish you a great day. ❤️

    • @lbognini
      @lbognini 2 роки тому

      @@vick7oria I'm not talking about you or your comment.
      I'm just saying there's no point fitting a video in a 5 mn timeframe while no one can watch it in 5 mn, just for the shake of self-flaterry.
      People wast too much time because they have to pause or rewind the video every 5 to 10 secondes. At the end, we spend 10 to 15 mn to watch the entire video.
      He thinks he makes people save time. In reality, he makes us wast our precious time.
      The content is great, thought. A normal flow would have been great too.
      I will never dare to hurt such a cute lady! 😉❤️

    • @vick7oria
      @vick7oria 2 роки тому

      @@lbognini I'm sorry but I cannot agree with you. I didn't had to stop and rewind the video to understand what they're talking about. The information is well gathered and simplified for the purposes of this video. And I can see how much effort they've put to create such type of content. Also, the level of professionalism is just wow. This is quality 👌🏻
      Maybe it's not your type of content and that's okay, everybody has a different learning and comprehending speed.
      Thanks for your points, once you've cleared them, it's easier to communicate, but please try not to put such labels as "stupid". ❤️

    • @lbognini
      @lbognini 2 роки тому +1

      @@vick7oria Ok. You're right. Stupid was not appropriate.
      FYI, I am a software engineer with also a degree in statistics, moving into the fields of AI and data science since a good while. There was nothing really new for me and I'm used to this type of content and none of the most followed and liked channels try to race against time. They take time to clearly explain things.
      It's true I'm not a native english speaker. This may have biased my opinion but I never had this feeling with other videos. 😉
      And I was mainly talking on behalf of new learners.
      Well, I'm sorry I was a bit rude.
      Pleased to have talked to you. ❤️

  • @estrella29100
    @estrella29100 2 роки тому +1

    Great video, very interesting, but what about the new role that has come with the modern data stack, the analytics engineer?

    • @365DataScience
      @365DataScience  2 роки тому +1

      Thank you!! We missed covering the analytics engineer role. We'll add this to our 'to-do' list.

  • @shadow6161
    @shadow6161 2 роки тому

    for someone who want to become an expert should go through data engineer >> then data analyst >> then data scientist with ML concepts ...

  • @vectoralphaSec
    @vectoralphaSec Рік тому +1

    which ones of those are the most entry level for someone straight out of college and no experience.

  • @BismaAli-ph1hj
    @BismaAli-ph1hj 3 місяці тому

    This video is very helpfull for every bignner❤❤

  • @monstrousamigo
    @monstrousamigo 2 роки тому

    Thanks, I got bored in most explanation, but this is an amazing fast and understandable

  • @bernietabuzo8580
    @bernietabuzo8580 2 роки тому

    Thanks for the super informative videos ☺️ now I know what should i pursue in data science 🔭

    • @365DataScience
      @365DataScience  2 роки тому

      Thanks so much for the positive feedback! Highly appreciated!

  • @ibrahiimycl
    @ibrahiimycl 6 місяців тому +1

    I am looking for a colleague to advance in the field of data science, someone I can exchange ideas with and learn together

    • @sharondawoods8805
      @sharondawoods8805 5 місяців тому

      what college are you enrolled in ?

    • @ibrahiimycl
      @ibrahiimycl 5 місяців тому

      @@sharondawoods8805 I’m studying in Turkey

  • @lelacshop1635
    @lelacshop1635 2 роки тому +1

    ❤❤❤

  • @x80085k
    @x80085k Рік тому

    So im assuming you’re a data scientist?

  • @lbognini
    @lbognini 2 роки тому +1

    I liked the video because I tend to encourage any effort towards sharing knowledge.
    Yet, I think it's a bit stupid to try to run against the clock and not even given any time to your graphics to appear on the screen.
    We don't care if you present it in 5 or 10 mns. We just want the content to be right to the point and concise but presented in a normal flow.
    And please, don't dare to talk about slowing down the video.