Been working through the Google Cloud Certified Professional Data Engineer track on Linux Academy the past few days.
Why?
Because it's one thing to build a #datascience or #machinelearning pipeline in a Jupyter Notebook but it's another thing to have something deployed in production.
Cloud services like #GoogleCloud provide a framework for ingesting, storing, analysing and visualising #data.
My exam is booked in for a couple of weeks.
The quizzes they have at the end of each module are incredibly helpful.
When I pass the exam, I'll do up a post with some of my favourite resources.
In the meantime, you can check out The Data Dossier book (pictured) here: https://lnkd.in/gmZMcGk
And if you're interested in the full Google Cloud Professional Data Engineer course, it's here: https://lnkd.in/gfBwXRF
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
Why?
Because it's one thing to build a #datascience or #machinelearning pipeline in a Jupyter Notebook but it's another thing to have something deployed in production.
Cloud services like #GoogleCloud provide a framework for ingesting, storing, analysing and visualising #data.
My exam is booked in for a couple of weeks.
The quizzes they have at the end of each module are incredibly helpful.
When I pass the exam, I'll do up a post with some of my favourite resources.
In the meantime, you can check out The Data Dossier book (pictured) here: https://lnkd.in/gmZMcGk
And if you're interested in the full Google Cloud Professional Data Engineer course, it's here: https://lnkd.in/gfBwXRF
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv