Learn how to automate data pipelines using Python and GitHub Actions in this comprehensive video tutorial. Explore two methods for automation: using orchestration tools and combining Python with triggers. Dive into a practical example of automating an ETL (Extract, Transform, Load) pipeline, covering the entire process from creating the Python script to setting up a GitHub repository and configuring GitHub Actions. Discover how to create workflow YAML files, add repository secrets, and commit changes. Gain insights into building a full-stack data science project, with additional resources provided for further learning and implementation.