• Post category:StudyBullet-17
  • Reading time:5 mins read

Learn Data Analytics with Polars (Python) in just 2 hours!
Unlock the Power of Polars for Lightning-Fast Data Analysis and Insights

What you will learn

Proficiency in Polars Library: By the end of this course, you will have a deep understanding of the Polars library

Data Ingestion and Cleaning Skills: You will be able to proficiently ingest data from various sources and implement data cleaning techniques

Data Aggregation and Summarization: You will master the art of data aggregation and summarization, allowing you to uncover valuable insights and trends

Data Manipulation and Transformation: After completing the course, you’ll have the skills to confidently manipulate and transform data


Welcome to our exciting course. In this fast-paced and engaging learning experience, I’ll take you on a journey through the incredible world of data analysis using the Polars library in Python.

Polars is a high-performance data manipulation library that empowers you to ingest, clean, aggregate, and manipulate data like a pro. Whether you’re a seasoned Python developer or just starting out, this course is designed to equip you with the essential skills to derive amazing insights from your data.

Key Course Highlights:

Data Ingestion: Learn how to efficiently load data from various sources, making it easy to work with diverse datasets.

Data Cleaning: Discover techniques to clean and preprocess your data, ensuring it’s ready for analysis.

Get Instant Notification of New Courses on our Telegram channel.

Data Aggregation : Master the art of aggregating and summarizing data, uncovering trends and patterns that drive decision-making.

Data Manipulation: Become proficient in data transformation and manipulation, enabling you to answer complex questions with ease.

No Prior Experience Required: While some minor Python experience is beneficial, it’s not a prerequisite. We’ll start from the basics and guide you through each step.

By the end of this course, you’ll have the confidence to tackle real-world data analysis projects using Polars in Python. Whether you’re a data enthusiast, a student, a professional, or anyone seeking to harness the power of data, this course is your gateway to unlocking incredible insights.

Join me on this journey to become a data analysis maestro, and let’s embark on a data-driven adventure together. Enrol now and start your path to mastering data analysis with Polars!




Introduction to our development environment
Introduction to our data

Core Functionality

Ingest & Inspect Data
Define a Custom Schema for your data
Handle Null Values in our Data
Select Specific Columns
Filtering our Dataframes

Create Value from Our Data

Create Calculated Columns
Apply Conditional Logic (WHEN / CASE Statement)
Apply Conditional Logic (WHEN / CASE Statement) – 2
Apply Conditional Logic (WHEN / CASE Statement) – 3
Apply Conditional Logic (WHEN / CASE Statement) – 4
Creating a User Defined Function
Creating a User Defined Function – 2

Aggregating Our Data

Data Aggregation – 1
Data Aggregation – 2
Rolling (Windowed) Aggregation
Applying Window Functions

Let’s solve a challenge

Challenge Overview
Challenge Solution

Wrapping Up

You’re Done!