• Learning Path
Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
• Data

This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: 1. Up and Running with Polars (video course) 2. Clean and Transform Data with Polars (video course) 3. Clean Customer and Billing Data with Polars (code lab) 4. Join and Combine Data with Polars (video course) 5. Summarize Data with Aggregations in Polars (video course) 6. Build KPI Summary Tables with Polars (code lab) 7. Analyze Large Datasets with Lazy Execution in Polars (video course)

Polars is a fast, columnar DataFrame library for data analysis in Python that emphasizes expressions and supports lazy execution for efficient processing. In this learning path, you’ll learn how Polars fits into the analytics ecosystem and when to use it, then build practical skills for preparing, combining, and summarizing data for real analysis work. You’ll leave with a solid foundation in idiomatic Polars workflows and the confidence to apply them to larger datasets and repeatable reporting tasks.