The 6 steps of Data Science

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  • Опубліковано 28 вер 2024
  • In this video I summarize the 6 steps of data science and point you to the tools in Google Cloud that help you achieve the outcome of these steps in data science. This will give you an overview of data science on Google Cloud in 10 minutes.
    We cover the six steps of data science:
    1. Data Engineering
    2. Data Analysis
    3. Model Development
    4. ML Engineering
    5. Insights activation
    📌 Playlist - bit.ly/3jA8Ylz
    📌 Spanner Blog - goo.gle/3zmQMnj
    📌 Bigtable Blog - goo.gle/2TV3hWY
    📌 Firestore Blog - goo.gle/3i1yQGX
    📌 PubSub Blog - goo.gle/3eF1uwk
    📌 Dataflow Blog - goo.gle/32Nu1xg
    📌 GitHub Repo - github.com/pri...
    📌 Visit my website to download the sketchnote image - thecloudgirl.dev/
    📌 Follow me on Twitter - / pvergadia
    📌 Follow me on Instagram - / pvergadia
    📌 Follow me on LinkedIn - www.linkedin.com/in/priyankavergadia
    #datascience #GCPSketchnote #GooogleCloud

КОМЕНТАРІ • 20

  • @schusterianlogic
    @schusterianlogic 2 роки тому +1

    Very needed for 2022. There is a ton of need for understanding data workflows related to AI and ML. Thank you!

  • @RanjanFinancials
    @RanjanFinancials 2 роки тому +1

    Very precise and to the point explanation. Very informative. :)

  • @machinelearning4376
    @machinelearning4376 2 роки тому +1

    veeeeeeeeeeery good overview!! :> thank you very much!
    i was yet overwhelmed with the google products - on one hand because they cost money and i like to stay independend using opensource - on the other hand its very hard to know which product to use when there are so many - but your video gave a very good overview.
    i'm looking for a way to detect anomalies and classify timeseries data from a sensor-datastream - what would you suggest?

    • @pvergadia
      @pvergadia  2 роки тому +1

      Thanks! You can find a lot of use cases such as time-series here cloud.google.com/architecture/reference-patterns/overview

    • @machinelearning4376
      @machinelearning4376 2 роки тому

      @@pvergadia Thank you very much! :)

  • @claytonaparecidoferreirada4239

    Thank you so much from Brazil! We need more video about Data Science, IA, ML and Data Engineering too!

  • @xrtechspot
    @xrtechspot Рік тому

    Hello, what tool it is use to create this design ? Thank you

  • @carlosmonari
    @carlosmonari 2 роки тому

    Hi Mrs Cloud Girl, wonderfull content, but your voice when you explain that landsacpe of tools, is not syncronized with video ! Have a nice day!

  • @excerwiselda5614
    @excerwiselda5614 2 роки тому

    How can one concentrate on the science with that voice talking? 😮

  • @Almita-ql1gt
    @Almita-ql1gt 4 місяці тому

    Mam do you have any courses on Google cloud ?

  • @nageciauskas
    @nageciauskas 2 роки тому +2

    Absolutely loved your video! 😍 As someone very new to the area of Data Engineering and Google Cloud, I can´t help but be excited to see someone talk so fluently about these subjects I love! 😄

    • @pvergadia
      @pvergadia  2 роки тому +1

      Thank you so much and welcome to the world of Data Engineering and Google Cloud

  • @anubhas8281
    @anubhas8281 2 роки тому +1

    Your videos are fantastic. The content is so spot on and easy to understand for newbies like me. I also love your Sketchnote style. Would you care to share which tools do you use for creating these Sketchnotes?

  • @Ashish_id
    @Ashish_id 2 роки тому +1

    Good refresher, Thanks !

  • @guillaumeblaquiere
    @guillaumeblaquiere 2 роки тому +1

    WOnderful summary!! I'm just sad not to see Cloud Workflow as orchestrator!

    • @pvergadia
      @pvergadia  2 роки тому

      Great point, that is totally a miss on my part. I will add it in the sketchnote for sure. Thanks for your feedback and a keen eye, always very helpful :)

  • @B3RAKESH
    @B3RAKESH 2 роки тому +1

    ❤️

  • @B3RAKESH
    @B3RAKESH 2 роки тому +1

    🙂

  • @gameit2852
    @gameit2852 2 роки тому +1

    Are tools suggested open source?

    • @pvergadia
      @pvergadia  2 роки тому

      Some of them are and some have a generous free tier in Google Cloud.