Udemy – Mastering Polars: Fast Data Processing & Big Data Analysis 2025-3

Mastering Polars: Fast Data Processing & Big Data Analysis. This course will help you perform high-speed big data analysis and optimize your data processing workflows using the Polars library. In this course, participants will be introduced to Polars, a powerful tool for efficiently managing large data sets. If you have encountered performance limitations in Pandas or want to accelerate your big data processing, this course is for you. You will learn everything from the basics, such as loading and manipulating data, to advanced techniques, such as lazy evaluation and chunk processing. It will also compare Polars and Pandas in real-world scenarios and explore the benefits of Polars in faster data processing. By the end of the course, you will be able to process millions of rows of data in less time than traditional methods. Topics include installing Polars, data manipulation, aggregation and grouping, visualization, performance optimization, and comparison with Pandas. This course will introduce you to key techniques for effectively managing big data and improving performance.

What you will learn

• Master data manipulation: You will learn to filter, group, and transform data efficiently using powerful Polars functions.
• Performance optimization: You use lazy evaluation and parallel execution to process large data sets faster.
• Comparing Polars and Pandas: Understand the key differences to choose the best tool for your data tasks.
• Process large files in chunks: Load, process, and aggregate large data sets efficiently, without running out of memory.

This course is suitable for people who:

• Beginner Python Developers: Data science enthusiasts.
• Those looking for faster alternatives to Pandas.
• Engineers and Business Analysts: If you work with data in any field, Polars can help streamline your workflow.
• Students and researchers: Whether you work on academic or research projects, you will benefit from learning data processing techniques faster.

Course details: Mastering Polars: Fast Data Processing & Big Data Analysis

• Publisher:  Udemy
• Instructor:  Olha Piliaieva
• Training level: Beginner to advanced
• Training duration: 1 hour and 15 minutes
• Number of lessons: 10

Course topics

Prerequisites for the Mastering Polars: Fast Data Processing & Big Data Analysis course

• A computer with Python installed.
• Jupyter Notebook for running and testing code.
• Polars and Pandas libraries must be installed.
• Basic familiarity with Python is helpful but not required – beginners are welcome!

Course images

Sample course video

Download link

Download file – 545 MB

File(s) password: www.downloadly.ir

File size

545 MB