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Udemy – Data Analysis with Polars and Python 2026-1

Updated August 10, 2026 14.1 GB
Udemy – Data Analysis with Polars and Python 2026-1

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Description

Data Analysis with Polars and Python is a course on using the Polars library alongside Python, published by Udemy Online Academy. You will learn how Polars’ modern, columnar architecture enables high-performance loading, transformation, aggregation, and querying of large datasets, often much faster than traditional tools. The course covers essential data manipulation techniques such as filtering, grouping, joining, and windowing functions, and shows you how to integrate Polars with common Python tools and workflows to clean, explore, and prepare data for analysis.

Data Analysis with Polars and Python offers over 22 hours of in-depth video training on the powerful Polars data analysis library. The course also includes an extensive collection of datasets, quizzes, and coding challenges to help you learn. At the same time, this library allows us to write our code in Python, the most popular language in the world. We get the best of both worlds – the speed and efficiency of Rust and the simplicity and elegance of Python.

What you will learn in Data Analysis with Polars and Python:

  • Master data manipulation operations in Polars including sorting, filtering, grouping, rotating, joining, and more!
  • Understand how Polars’ functionally-oriented, expression-based approach can be used to create complex chains of logic
  • Use LazyFrames to create complex query plans that Polars can optimize for performance
  • Work with data types including text, time, number, nested structures, and more
  • And…

Course specifications

Publisher: Udemy
Instructors: Boris Paskhaver
Language: English
Level: Introductory
Number of Lessons: 191
Duration: 22 hours and 12 minutes

Course topics

Data Analysis with Polars and Python Content

Data Analysis with Polars and Python Prerequisites

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

Pictures

Data Analysis with Polars and Python

Data Analysis with Polars and Python introduction video

Installation guide

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Subtitle: None

Quality: 1080p

Downloadly link

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 2.1 GB

Rapidgator link

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 2.1 GB

File password (s): www.downloadly.ir

Size

14.1 GB