Data Analysis with Polars and Python
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 22h 11m | 14.1 GB
Instructor: Boris Paskhaver

Master data analysis with the powerful Polars library! Up-to-date for 2026. All datasets included -- beginners welcome!

[b]What you'll learn[/b]

[list]
[*]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
[/list]

Requirements

[list]
[*]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
[/list]

[b]Description[/b]

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:

[list]
[*]installing Python and Polars on your computer
[*]understanding the core mechanics of Python
[*]working with the Jupyter Lab coding environment
[/list]

Whether 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:

[list]
[*]Series
[*]DataFrames
[*]LazyFrames
[/list]

Most of our work will focus on the DataFrame, a 2-dimensional table of rows and columns. We'll cover data manipulation operations including:

[list]
[*]sorting
[*]filtering
[*]grouping
[*]aggregating
[*]de-duplicating
[*]pivoting
[*]deleting
[*]joining
[*]replacing
[*]working with text data
[*]working with temporal/datetime data
[/list]

We'll also cover some of Polar's unique column data types including:

[list]
[*]lists
[*]arrays
[*]structs
[/list]

and more!

Data Analysis with Polars and Python

I'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:

[list]
[*]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
[/list]

Homepage

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