Learn Data Analytics with Polars (Python) in just 2 hours!

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Kieran Keene

1:39:11

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1. Introduction

1. Introduction.mp4

00:39

2. Introduction to our development environment.mp4

03:46

3. Introduction to our data.mp4

02:20

2. Core Functionality

1. Ingest & Inspect Data.mp4

08:52

2. Define a Custom Schema for your data.mp4

04:30

3. Handle Null Values in our Data.mp4

09:33

4. Select Specific Columns.mp4

04:03

5. Filtering our Dataframes.mp4

02:57

3. Create Value from Our Data

1. Create Calculated Columns.mp4

07:44

2. Apply Conditional Logic (WHEN CASE Statement).mp4

03:25

3. Apply Conditional Logic (WHEN CASE Statement) - 2.mp4

03:25

4. Apply Conditional Logic (WHEN CASE Statement) - 3.mp4

05:56

5. Apply Conditional Logic (WHEN CASE Statement) - 4.mp4

04:45

6. Creating a User Defined Function.mp4

06:37

7. Creating a User Defined Function - 2.mp4

05:27

4. Aggregating Our Data

1. Data Aggregation - 1.mp4

05:47

2. Data Aggregation - 2.mp4

03:58

3. Rolling (Windowed) Aggregation.mp4

04:44

4. Applying Window Functions.mp4

03:40

5. Lets solve a challenge

1. Challenge Overview.mp4

02:48

2. Challenge Solution.mp4

03:35

6. Wrapping Up

1. Youre Done!.mp4

00:40

Description

Unlock the Power of Polars for Lightning-Fast Data Analysis and Insights

What You'll 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

Who is this for?

This course is suitable for individuals at all skill levels, from beginners to experienced data analysts, Python enthusiasts, students, professionals in various fields, freelancers, and entrepreneurs, all seeking to acquire the essential skills for data analysis using the Polars library in Python.

What You Need to Know?

Some basic python knowledge would be beneficial

More details

Description
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.

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!
Who this course is for:
This course is suitable for individuals at all skill levels, from beginners to experienced data analysts, Python enthusiasts, students, professionals in various fields, freelancers, and entrepreneurs, all seeking to acquire the essential skills for data analysis using the Polars library in Python.

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Python

Data Analysis

Kieran Keene

Instructor's Courses

Hey guys! I am a data engineer by trade and specialize in Python, SQL, Spark, Hive, MongoDB and more. I've come on Udemy to try and make simple, short crash courses into these technologies as I personally find the longer courses too drawn out & I often lose interest. The idea is to keep it short and sharp!For loads of advanced Spark, Python & Big Data topics, please visit my website (the button on this page will take you there) - where I talk about scaling up to enterprise grade solutions.

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