Data Transformation with Polars Course

Name: Data Transformation with Polars
Rating: 4.95 (20 reviews)

Data Transformation with Polars

IntermediateSkill Level

4.9+

20 reviews

Updated 03/2026

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

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Course Description

Take your Polars skills further with intermediate techniques for data transformation and analysis. Learn to clean and search text, work with time series using rolling and window functions, and combine DataFrames through joins and concatenation. You'll also create reusable custom expressions and apply advanced analytics, such as quantiles, histograms, and correlations. By the end, you'll be equipped to handle complex data workflows with confidence.

Prerequisites

Introduction to Polars Intermediate Python for Developers

Transforming Data with Expressions

In this chapter, you'll learn how to clean and search text data, extract patterns from strings, and use conditional expressions to transform columns.

Transforming Data with Expressions

50 XP

Converting column data types

100 XP

Removing whitespace

100 XP

Concatenating text columns

100 XP

Searching and extracting text

50 XP

Searching text

100 XP

Extracting strings from text

100 XP

Replacing multiple patterns

100 XP

Creating conditional expressions

50 XP

Categorizing customers with conditions

100 XP

Chaining multiple conditions

100 XP

Filling missing values

100 XP

Start Chapter

Working with Time Series and Window Functions

Learn how to parse and manipulate dates, filter and aggregate data by time periods, and calculate rolling and cumulative statistics.

Parsing and manipulating dates

50 XP

Parsing datetime strings

100 XP

Extracting the hour component

100 XP

Calculating rental period end times

100 XP

Filtering and aggregating by time period

50 XP

Filtering for a specific datetime

100 XP

Filtering for a time range

100 XP

Calculating weekly rental totals

100 XP

Rolling and cumulative aggregations

50 XP

Calculating a rolling sum

100 XP

Calculating cumulative rentals

100 XP

Rolling aggregations on multiple columns

100 XP

Transforming data by group

50 XP

Calculating the hourly total with window functions

100 XP

Calculating the difference from hourly mean

100 XP

Grouping by multiple columns with window functions

100 XP

Start Chapter

Combining and Joining DataFrames

This chapter covers combining DataFrames via concatenation, joining on single or multiple columns, and matching rows based on conditions or nearest values.

Concatenating DataFrames

50 XP

Stacking regional listings

100 XP

Adding flag columns

100 XP

Adding new rows efficiently

100 XP

Joining DataFrames

50 XP

Adding host information

100 XP

Matching on unique combinations

100 XP

Preserving all listings

100 XP

Finding gaps in both DataFrames

100 XP

Joining DataFrames by condition or nearest match

50 XP

Matching listings to budget requests

100 XP

Filtering with multiple conditions

100 XP

Matching to the nearest price update

100 XP

Start Chapter

Custom Transformations and Advanced Analytics

Learn how to build reusable custom expressions, categorize data using quantiles and fixed thresholds, and analyze rankings and correlations.

Applying custom transformations

50 XP

Converting streams to billions

100 XP

Creating reusable expressions

100 XP

Adding a custom expression

100 XP

Calculating quantiles and histograms

50 XP

Calculating popularity quantiles

100 XP

Binning streams into tiers

100 XP

Building a popularity histogram

100 XP

Calculating ranks and correlations

50 XP

Ranking albums with tie handling

100 XP

Building a correlation matrix

100 XP

Custom summaries with describe

100 XP

Wrapping up

50 XP

Start Chapter

Data Transformation with Polars

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Don’t just take our word for it

*4.9

from 20 reviews

95%

Sort by

Napaporn

2 days ago

James Kiwanuka

5 days ago

Very beautiful course. I enjoyed every bit.

Mike

5 days ago

This is the most interesting and useful course for me. I'm already eager to apply many of the tasks at work. I'm looking forward to more courses and projects with Polars.

Marek

last week

Shing Chun

2 weeks ago

James

2 weeks ago

Napaporn

"Very beautiful course. I enjoyed every bit."

James Kiwanuka

"This is the most interesting and useful course for me. I'm already eager to apply many of the tasks at work. I'm looking forward to more courses and projects with Polars."

Mike

FAQs

What will I learn in this course?

You will learn intermediate Polars techniques, including text transformations, time series operations, combining DataFrames through joins, and advanced analytics like quantiles and correlations.

Who is this course intended for?

Data professionals who have completed Introduction to Polars and Intermediate Python for Developers and want to handle more complex data workflows.

How will this course help me in my career?

You will gain practical skills in data transformation and analysis using Polars, a fast-growing library valued for its speed and efficiency in data engineering roles.

Join over 19 million learners and start Data Transformation with Polars today!

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Data Transformation with Polars

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Course Description

Prerequisites

Transforming Data with Expressions

Working with Time Series and Window Functions

Combining and Joining DataFrames

Custom Transformations and Advanced Analytics

Earn Statement of Accomplishment

Don’t just take our word for it

FAQs

What will I learn in this course?

Who is this course intended for?

How will this course help me in my career?

Join over 19 million learners and start Data Transformation with Polars today!

Create Your Free Account

Grow your data skills with DataCamp for Mobile

Course Description

Earn Statement of Accomplishment

Don’t just take our word for it

FAQs

Who is this course intended for?

How will this course help me in my career?

Join over .css-nklxlk{color:var(--wf-brand--main, #03EF62);}19 million learners and start Data Transformation with Polars today!

Create Your Free Account

Grow your data skills with DataCamp for Mobile

Join over 19 million learners and start Data Transformation with Polars today!