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Join and Combine Data with Polars

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.

Intermediate
44m

Created by Keerthi Pushpajan

Last Updated Mar 19, 2026

Course Thumbnail
  • Course

Join and Combine Data with Polars

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.

Intermediate
44m

Created by Keerthi Pushpajan

Last Updated Mar 19, 2026

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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.

Join and Combine Data with Polars
Intermediate
44m
Table of contents

About the author
Keerthi Pushpajan - Pluralsight course - Join and Combine Data with Polars
Keerthi Pushpajan
2 courses 0.0 author rating 0 ratings

Keerthi is a computer engineer focused on testing and AI, and also runs a growing artificial jewellery brand. She enjoys combining tech with creative problem-solving - both in code and in business.

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