ChatGPT: How I Made An R Shiny App In Under 10 Minutes

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  • เผยแพร่เมื่อ 10 พ.ย. 2024

ความคิดเห็น • 15

  • @method341
    @method341 ปีที่แล้ว +18

    ChatGPT is insane, please do more videos on how data scientists can utilise this beast to its fullest extent 😎

    • @BusinessScience
      @BusinessScience  ปีที่แล้ว +2

      Thank you. Will do!

    • @pepper_lab
      @pepper_lab ปีที่แล้ว

      Agreed
      Please do more
      Make more 😅😅

  • @IarukaSkYouk
    @IarukaSkYouk ปีที่แล้ว +7

    oh my god, you are crazy good at this.
    how long have you been learning and working in the data field sir? every video you bring more technique and skills to perform a task. I am a beginner in R and I'm glad I found your channel!

    • @BusinessScience
      @BusinessScience  ปีที่แล้ว +3

      Thank you. I have 10+ years of data science and business consulting experience. I’ve built R software including timetk, tidyquant, modeltime which combine for over 3,000,000 downloads. And I’ve put about 10,000 hours into learning R for business analytics and data science. So yes! I’m glad it’s coming across that I can help you. The main thing is to keep working at it and applying R to your career. You’re career will take off. Mine did.

  • @vidbot4037
    @vidbot4037 ปีที่แล้ว

    Sir! Thank you so much for all the content and great tools that you bring to the community.
    Speaking for myself, I'm a statistics and data science major at uni and will be taking my masters in statistics and data analytics come next summer. With your teachings it seems certain that I would make a great impression on my first day and throughout my career. I'm sure there is a whole crowd of students following you whom cannot afford the educational packages.
    Are you planning on releasing a lower-fee version aimed at students??
    Think about the possible gains in organic growth in the long term from having a crowd of loyal new graduates trailblazing through the industry - everyone asking how they did it and your name being the answer to that question.
    Seems pretty sweet if you ask me.

  • @josephdaquila2479
    @josephdaquila2479 ปีที่แล้ว +1

    I have found the business science channel!

  • @method341
    @method341 ปีที่แล้ว +2

    Hello Matt, it seems data scientists in small-medium businesses are in charge of end to end data science and this could involve database development. Do you think setting up something like SQL Server (MS) is overkill for most SMEs? Any advice on this side of data science because I feel it's so important and most people seem to take data acquisition and storage for granted.

    • @BusinessScience
      @BusinessScience  ปีที่แล้ว +1

      This is a great question. Back when I was doing business process improvements with data science, being able to create a database was absolutely essential. Then I’d make a front end (shiny app) to have users enter info. I’d tap into the database backend and analyze the data. Made a $15,000,000 improvement doing this. The Database was essential.

    • @method341
      @method341 ปีที่แล้ว

      @@BusinessScience what SQL database did you create? MySQL, PostGreSQL, etc

  • @afonsoosorio2099
    @afonsoosorio2099 ปีที่แล้ว +1

    Truly mind blowing

    • @BusinessScience
      @BusinessScience  ปีที่แล้ว

      Absolutely. It’s a game changer. Once you know enough to be dangerous with shiny you can really do some next level stuff fast.

    • @afonsoosorio2099
      @afonsoosorio2099 ปีที่แล้ว

      @@BusinessScience expecting to get more in your coming webinar