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Intermediate Data Visualization with Seaborn

IntermediateSkill Level
4.8+
402 reviews
Updated 05/2026
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
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PythonData Visualization4 hr13 videos50 Exercises4,200 XP74,695Statement of Accomplishment

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Course Description

Do you want to make beautiful, informative visualizations with ease? If so, then you must learn seaborn! Seaborn is a visualization library that is an essential part of the python data science toolkit. In this course, you will learn how to use seaborn's sophisticated visualization tools to analyze multiple real world datasets including the American Housing Survey, college tuition data, and guests from the popular television series, The Daily Show. Following this course, you will be able to use seaborn functions to visualize your data in several different formats and customize seaborn plots for your unique needs.

Prerequisites

Data Manipulation with pandas
1

Seaborn Introduction

Introduction to the Seaborn library and where it fits in the Python visualization landscape.
Start Chapter
2

Customizing Seaborn Plots

3

Additional Plot Types

4

Creating Plots on Data Aware Grids

Intermediate Data Visualization with Seaborn
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*4.8
from 402 reviews
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  • Deepak
    yesterday

    Great excercise

  • Tianxin
    2 days ago

  • Santiago
    2 days ago

  • Ayush
    2 days ago

  • willy
    6 days ago

  • priyanshu
    7 days ago

"Great excercise"

Deepak

Tianxin

Santiago

FAQs

What real-world datasets are used in this Seaborn course?

You analyze the American Housing Survey, college tuition data, and guest appearances from The Daily Show television series across the course exercises.

How does this course go beyond an introductory Seaborn course?

It covers advanced customization of plot displays, complex plot types like regression and matrix plots, and techniques for creating multiple plots on data-aware grids in a single figure.

Will I learn to customize the appearance of Seaborn plots?

Yes. Chapter 2 is dedicated to customizing Seaborn plot displays, including styles, color palettes, and other visual elements to tailor plots to your needs.

What prerequisites should I complete first?

You need Introduction to Python, Intermediate Python, and Data Manipulation with pandas. Familiarity with basic plotting concepts will also help you get the most from this course.

How long does the course take to finish?

The course has 4 chapters with 50 exercises. The median completion time is about 2.4 hours, with an estimated total learning time of 4 hours.

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