(1/3) I am excited to share that my course - Data Pipeline Automation with GitHub Actions Using R and Python 🚀, is now available on LinkedIn Learning!
The course provides an introduction to setting up automation with GitHub Actions with both R and Python. Throughout the course, we will use a real-life example by working with the U.S. Energy Information Administration (EIA) API for data automation. 🧵👇🏼
(2/3) This includes:
✅ Learn how to work with the EIA API
✅ Define the data pipeline scope and characteristics
✅ Set functions to pull data and metadata from the API
✅ Set data backfill and refresh process
✅ Deploy the process to GitHub Actions
✅ Create a monitoring dashboard and deploy it on GitHub Pages
The course has tracks for both R and Python using tools such as Quarto docs, Git, and Docker.
@ramikrispin Hi Rami, this is a great course. I am following the course instructions but it seems that the EIAapi R library is outdated? It throws the error Could not parse the metadata JSON. Not sure if I am missing anything.
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