Advanced pandas—Going Beyond the Basics

Advanced pandas—Going Beyond the Basics

Intermediate

94 Lessons

16h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

584 Playgrounds
10 Quizzes

This course includes

584 Playgrounds
10 Quizzes

Course Overview

Pandas is an easy-to-use and performant Python library for data manipulation and analysis. It is an important toolkit in a world where the volume of data created and captured is growing exponentially. In this course, you’ll discover an in-depth exploration of the pandas library. The course covers advanced techniques to reshape data, manipulate data, and handle various data types. You will also learn how to use less conventional pandas features to streamline workflows, while also leveraging extended pandas...Show More

TAKEAWAY SKILLS

Python

Data Manipulation

Data Plotting

Data Extraction

Data Statistics

Data Science

Analysis Tools

Python 3

Data Collection

Data Cleaning

Data Visualisation

Data Analysis

Data Types

Python Programming

Polars

Time Series Analysis

Data Storytelling

What You'll Learn

Understanding of pandas’ extensive capabilities in reading data from different sources

Working knowledge of how to effectively handle different types of data in pandas

Hands-on experience using data reshaping and manipulation techniques in pandas

Ability to leverage extended pandas libraries for advanced capabilities in handling and analyzing data

Familiarity with less conventional yet useful features of pandas

Knowledge of efficiency boosting techniques

What You'll Learn

Understanding of pandas’ extensive capabilities in reading data from different sources

Show more

Course Content

1.

Before We Begin

2.

Reading Data into pandas

3.

Combining Data

4.

Reshaping and Manipulating Data

5.

Encoding Data Types

6.

Handling Numerical Data

10 Lessons

7.

Handling Categorical Data

6 Lessons

8.

Handling Text Data

7 Lessons

9.

Handling Time Series Data

17 Lessons

10.

Handling Sparse Data Structures

2 Lessons

11.

Handling Missing Data

4 Lessons

12.

Leveraging Further Features of pandas

6 Lessons

13.

Utilizing Extended Libraries

5 Lessons

14.

Wrap Up

1 Lesson

15.

Appendix

5 Lessons

Course Author

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Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

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Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

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Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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