PluralSight – Join and Combine Data with Polars 2026
English | Tutorial | Size: 125.58 MB
Combining data from multiple sources is a core skill for any data analyst. This course will teach you how to join and concatenate datasets in Polars while avoiding common pitfalls and validating your results.
What you’ll learn
Working with data scattered across multiple tables and files is a reality for most data analysts, but combining them incorrectly can lead to duplicated rows, missing records, or silently wrong results. In this course, Join and Combine Data with Polars, you’ll gain the ability to confidently merge and consolidate datasets for analysis. First, you’ll explore how to identify join keys and perform different types of joins in Polars. Next, you’ll discover how to handle common join pitfalls like mismatched data types, null keys, and duplicate keys. Finally, you’ll learn how to stack and consolidate data from multiple files while removing duplicates. When you’re finished with this course, you’ll have the skills and knowledge of joining and combining data in Polars needed to bring together multiple data sources accurately and reliably.
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