
I’m excited to share that my new course on PySpark Essential Training is now live on LinkedIn Learning!
I was approached by the LinkedIn Learning team after they found some of my Python courses on YouTube, and we brainstormed several ideas for topics together. While I hadn’t used PySpark in a production setting, I was really excited to dive into it and develop a new course for them! This is the first time I’ve created an on-demand course that actually pays royalties based on streams, which is a lot more scalable than the quarterly live trainings I’ve been hosting for O’Reilly.
In the LinkedIn Learning course, I provide a structured and hands-on introduction to PySpark – perfect for data engineers, analysts, and anyone looking to scale their data processing skills. The course covers:
- The core concepts of Spark and PySpark.
- Installing PySpark, loading, manipulating, and analyzing large datasets in a notebook environment.
- How PySpark fits into a wider data engineering ecosystem.
- Best practices about executing PySpark in a production environment.
You can stream the course here with a LinkedIn Learning subscription – and feel free to like and bookmark the course to provide feedback!
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