Skip to main content

course

Intermediate Data Visualization with Seaborn

Intermediate

4.2+

Updated 12/2024

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

Start course for free

Included for FreePremium or Teams

PythonData Visualization4 hours13 videos50 exercises4,200 XP71,334Statement of Accomplishment

Create Your Free Account

Google LinkedIn Facebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

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 Seaborn

Seaborn foundation

Reading a csv file

Comparing a histogram and displot

Using the distribution plot

Plot a histogram

Rug plot and kde shading

Interpreting the results

Regression Plots in Seaborn

Create a regression plot

Plotting multiple variables

Facetting multiple regressions

2

Customizing Seaborn Plots

Using Seaborn Styles

Setting the default style

Comparing styles

Removing spines

Colors in Seaborn

Matplotlib color codes

Using default palettes

Color Palettes

Creating Custom Palettes

Customizing with matplotlib

Using matplotlib axes

Additional plot customizations

Adding annotations

Multiple plots

3

Additional Plot Types

Categorical Plot Types

stripplot() and swarmplot()

boxplots, violinplots and boxenplots

barplots, pointplots and countplots

Regression Plots

Regression and residual plots

Regression plot parameters

Binning data

Matrix plots

Creating heatmaps

Customizing heatmaps

4

Creating Plots on Data Aware Grids

Using FacetGrid, catplot and lmplot

Building a FacetGrid

Using a catplot

Using a lmplot

Using PairGrid and pairplot

Building a PairGrid

Using a pairplot

Additional pairplots

Using JointGrid and jointplot

Building a JointGrid and jointplot

Jointplots and regression

Complex jointplots

Selecting Seaborn Plots

Intermediate Data Visualization with Seaborn

Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Don’t just take our word for it

*4.2

from 36 reviews

58%

22%

11%

6%

3%

Highest to Lowest
Lowest to Highest
Most recent
Top reviews

Noel C.

4 months

all good!

PASCAL P.

4 months

Very insightful course giving a panoramic view of Seaborn functionalities and methods .

patrick l.

5 months

Great, a max of examples !

James K.

12 months

Very well structured and covers a lot of ground

Sientayhu T.

about 1 year

It was great

"all good!"

Noel C.

"Very insightful course giving a panoramic view of Seaborn functionalities and methods ."

PASCAL P.

"Great, a max of examples !"

patrick l.

Join over 15 million learners and start Intermediate Data Visualization with Seaborn today!

Create Your Free Account

Google LinkedIn Facebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.