Learn how to automate processes using R and Python workflows and GitHub Actions in this course, “Data Pipeline Automation with GitHub Actions Using R and Python - Rami Krispin.” There are guest lectures as well, and instructor Rami Krispin will explain how you go about automation and use real-life instances. Discover how to build a data pipeline, get metadata, and create a live dashboard with the help of GitHub Actions and Pages. If manual script runs and slow processes from API data extraction or dashboard refreshes are taking a toll on your energy, join Rami in this course to find out how to make things easier.
Data Pipeline Automation with GitHub Actions Using R and Python - Rami Krispin Table of Contents:
- Introduction
- EIA API
- Data Automation
- Deployment
- Monitoring
- Conclusion
Who is this course for?
- Data Scientists
- Data Analysts
- Data Engineers
- Anyone looking to automate processes using R and Python workflows on GitHub Actions.
Click on the links below to Download Data Pipeline Automation with GitHub Actions Using R and Python - Rami Krispin!
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