Data Analysis with Polars

"A thorough introduction to Polars" - Ritchie Vink, creator of Polars - over 3,000 learners to date!

4.62 (478 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Taking advantage of parallel and optimised analysis with Polars

Working with larger-than-memory data

Using Polars expressions for analysis that is easy to read and write

Loading data from a wide variety of data sources

Combining data from different datasets using fast joins operations

Grouping and parallel aggregations

Deriving insight from time series

Preparing data for machine learning pipelines

Visualising data with Matplotlib, Seaborn, Altair & Plotly

Using Polars with Scikit-learn

Course Gallery

Data Analysis with Polars – Screenshot 1 — Screenshot 1 – Data Analysis with Polars

Data Analysis with Polars – Screenshot 2 — Screenshot 2 – Data Analysis with Polars

Data Analysis with Polars – Screenshot 3 — Screenshot 3 – Data Analysis with Polars

Data Analysis with Polars – Screenshot 4 — Screenshot 4 – Data Analysis with Polars

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Comidoc Review

Our Verdict

Tackling Data Analysis with Polars unveils a wealth of invaluable knowledge related to high-performance data manipulation using Python. Ritchie Vink's course offers a comprehensive, example-driven learning experience aimed at expanding your proficiency within this rapidly growing library. Nevertheless, be prepared for occasionally outdated or missing video content while navigating through various sections and resource files.

What We Liked

Provides an in-depth exploration of Polars, a high-performance dataframe library that is rapidly gaining popularity amongst data scientists using Python.
Led by Ritchie Vink, a major Polars contributor, who offers unique insights and maintains the course's relevance with frequent updates following new Polars releases.
Comprehensive Jupyter notebooks, filled with exercises, illustrate core concepts and provide valuable context that goes beyond typical documentation.
Content progressively builds from introductions to querying, optimization, and large-scale data manipulation.

Potential Drawbacks

Videos are not the primary focus of this course; most videos might appear outdated due to Polars API fluctuations, with notebooks being consistently updated instead.
Some sections may only contain resource files without accompanying videos; a potential inconvenience for learners preferring video guidance.
While offering extensive value in understanding Polars, the pace of development may challenge learners seeking completely up-to-date multimedia content.
There have been instances where students encountered errors during downloads or required multiple files to understand some lectures.