January 2026
Intermediate
22h 12m
English
Closed Captioning available in English
Overview
Course Description
In this 22-hour course, you'll learn efficient, scalable data analysis with Polars and Python. This course covers everything from setting up your Python environment to advanced topics like lazy evaluation and optimizing query plans for large datasets. You'll master how to manipulate, filter, reshape, and join data with Polars, helping you work with large datasets more efficiently.
What I will be able to do after this course
- Analyze large datasets efficiently using Polars and Python
- Build and manipulate Series and DataFrames with expressions
- Filter, join, reshape, and aggregate data confidently
- Work with text, dates, lists, structs, and categorical data
- Apply lazy evaluation for scalable data processing
Course Instructor(s)
Boris Paskhaver is a New York City-based software engineer, author, and Udemy instructor. He focuses on creating comprehensive courses that make programming accessible, helping others unlock the potential of coding, especially in Python and JavaScript.
Who is it for?
This course is for data analysts, data scientists, and Python developers who want to gain high-performance data analysis skills using Polars. Basic Python knowledge is recommended for better comprehension.
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