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Data Analysis With Polars And Python
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 22h 11m | Size: 14 GB[/center]
Master data analysis with the powerful Polars library! Up-to-date for 2026. All datasets included --- beginners welcome!
What you'll learn
Master data manipulation operations in Polars including sorting, filtering, grouping, pivoting, joining and more!
Understand Polar's functional, expression-based syntax for building up complex chains of logic
Use LazyFrames to create complex query plans that Polars can optimize for efficiency
Work with a variety of data including text, temporal, numeric, nested structures, and more
Requirements
Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc)
Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
Strong knowledge of data types (strings, integers, floating points, booleans) etc
Description
Welcome to the most comprehensive Polars course on Udemy! Data Analysis with Polars and Python offers 22+ hours of in-depth video tutorials on the powerful Polars data analysis library. The course also includes a wide collection of datasets, quizzes, and coding challenges to aid your learning.Why Polars?The core of Polars is written in Rust, one of the fastest programming languages in the world. At the same time, the library enables us to write our code in Python, the most popular language in the world. We gain the best of both worlds -- the speed and efficiency of Rust and the simplicity and elegance of Python.Who is this Course For?The course is designed for learners of all skill levels, from experienced data analysts to students who have never programmed before. Lessons include:installing Python and Polars on your computerunderstanding the core mechanics of Pythonworking with the Jupyter Lab coding environmentWhether you've spent time in a spreadsheet software like Microsoft Excel/Google Sheets or another data analysis library like Pandas, Polars can help take your data analysis skills to the next level.What Topics Will We Cover?We'll cover the core objects of Polars including:SeriesDataFramesLazyFramesMost of our work will focus on the DataFrame, a 2-dimensional table of rows and columns. We'll cover data manipulation operations including
ortingfilteringgroupingaggregatingde-duplicatingpivotingdeletingjoiningreplacingworking with text dataworking with temporal/datetime dataWe'll also cover some of Polar's unique column data types including:listsarraysstructsand more!Data Analysis with Polars and PythonI'm excited to share everything I've learned about Polars, a powerful library that is quickly emerging as a dominant competitor in Python's data science ecosystem. I look forward to seeing you in the course!
Who this course is for
Data analysts and business analysts
Excel/Google Sheets users who looking to learn a more powerful software for data analysis
Developers familiar with Pandas who want to explore the rising entrant in the Python data science ecosystem
Data Analysis With Polars And Python
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 22h 11m | Size: 14 GB[/center]
Master data analysis with the powerful Polars library! Up-to-date for 2026. All datasets included --- beginners welcome!
What you'll learn
Master data manipulation operations in Polars including sorting, filtering, grouping, pivoting, joining and more!
Understand Polar's functional, expression-based syntax for building up complex chains of logic
Use LazyFrames to create complex query plans that Polars can optimize for efficiency
Work with a variety of data including text, temporal, numeric, nested structures, and more
Requirements
Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc)
Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
Strong knowledge of data types (strings, integers, floating points, booleans) etc
Description
Welcome to the most comprehensive Polars course on Udemy! Data Analysis with Polars and Python offers 22+ hours of in-depth video tutorials on the powerful Polars data analysis library. The course also includes a wide collection of datasets, quizzes, and coding challenges to aid your learning.Why Polars?The core of Polars is written in Rust, one of the fastest programming languages in the world. At the same time, the library enables us to write our code in Python, the most popular language in the world. We gain the best of both worlds -- the speed and efficiency of Rust and the simplicity and elegance of Python.Who is this Course For?The course is designed for learners of all skill levels, from experienced data analysts to students who have never programmed before. Lessons include:installing Python and Polars on your computerunderstanding the core mechanics of Pythonworking with the Jupyter Lab coding environmentWhether you've spent time in a spreadsheet software like Microsoft Excel/Google Sheets or another data analysis library like Pandas, Polars can help take your data analysis skills to the next level.What Topics Will We Cover?We'll cover the core objects of Polars including:SeriesDataFramesLazyFramesMost of our work will focus on the DataFrame, a 2-dimensional table of rows and columns. We'll cover data manipulation operations including
ortingfilteringgroupingaggregatingde-duplicatingpivotingdeletingjoiningreplacingworking with text dataworking with temporal/datetime dataWe'll also cover some of Polar's unique column data types including:listsarraysstructsand more!Data Analysis with Polars and PythonI'm excited to share everything I've learned about Polars, a powerful library that is quickly emerging as a dominant competitor in Python's data science ecosystem. I look forward to seeing you in the course!Who this course is for
Data analysts and business analysts
Excel/Google Sheets users who looking to learn a more powerful software for data analysis
Developers familiar with Pandas who want to explore the rising entrant in the Python data science ecosystem
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