What you'll learn

Getting from raw transactional data to a clean summary table that answers a specific business question is one of the most common tasks in data analysis, and getting it right means choosing the right grain, picking the right metrics, and validating your output. In this course, Summarizing Data with Aggregations in Polars, you’ll gain the ability to build summary tables and analysis-ready KPI views using Polars. First, you’ll explore how to define grouping keys and compute core aggregations like counts, sums, and distinct counts. Next, you’ll discover how to build multi-metric summaries with clean naming and validate your results against the raw data. Finally, you’ll learn how to aggregate by time periods, compute conditional metrics, produce top-N rankings, and create period-over-period comparisons. When you’re finished with this course, you’ll have the skills and knowledge of Polars aggregations needed to turn raw data into reporting-ready summaries.