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Python Seaborn Fundamentals

Create beautiful statistical visualizations with Seaborn effortlessly!

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Python Seaborn Fundamentals
3 Modules

Course Curriculum

3 Modules · 7 Chapters · 7 Topics · 43 Sub-topics

01
Foundation
2 Chapters · 2 Topics · 12 Sub-topics
Introduction to Seaborn
1 Topics
Getting Started with Seaborn
6 Sub-topics
What is Seaborn and Why Use It
Seaborn vs Matplotlib
Installing Seaborn
Importing Seaborn and Initial Setup
Understanding Seaborn's Philosophy
Overview of Seaborn Plot Types
First Steps with Seaborn
1 Topics
Creating Your First Plots
6 Sub-topics
Loading Built-in Datasets
Creating Your First Scatter Plot
Creating Your First Line Plot
Understanding Figure and Axes
Basic Plot Customization
Saving Your First Plot
02
Core Plots
3 Chapters · 3 Topics · 18 Sub-topics
Seaborn Plot Interface
1 Topics
Understanding Plot Functions
6 Sub-topics
Understanding Figure-Level vs Axes-Level Functions
Using relplot() - The Relational Plot Function
Using displot() - The Distribution Plot Function
Using catplot() - The Categorical Plot Function
When to Use Each Interface Type
Converting Between Interface Types
Distribution Plots
1 Topics
Visualizing Data Distributions
7 Sub-topics
Histograms with histplot()
Kernel Density Estimation with kdeplot()
Empirical Cumulative Distribution with ecdfplot()
Rug Plots for Data Density
Combining Multiple Distribution Plots
Bivariate Distribution Plots
Customizing Bins and Bandwidth
Categorical Plots Part 1
1 Topics
Basic Categorical Visualizations
5 Sub-topics
Strip Plots with stripplot()
Swarm Plots with swarmplot()
Box Plots with boxplot()
Violin Plots with violinplot()
Understanding Categorical Data Representation
03
Styling Basics
2 Chapters · 2 Topics · 13 Sub-topics
Color Palettes Part 1
1 Topics
Understanding Color in Visualization
6 Sub-topics
Understanding Color in Data Visualization
Qualitative Color Palettes
Sequential Color Palettes
Diverging Color Palettes
Using color_palette()
Built-in Palette Names
Styling and Themes
1 Topics
Customizing Plot Appearance
7 Sub-topics
Understanding Seaborn Themes
Using set_theme() for Global Styling
Built-in Styles (darkgrid, whitegrid, dark, white, ticks)
Context Settings (paper, notebook, talk, poster)
Font Scaling with set_context()
Customizing RC Parameters
Temporarily Overriding Styles with axes_style()

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