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Quick Start with Seaborn

Master Seaborn basics fast and start creating stunning data visualizations today!

4.3

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Quick Start with Seaborn

3 Modules

Course Curriculum

3 Modules · 8 Chapters · 8 Topics · 51 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

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

Relational Plots

1 Topics

Exploring Relationships in Data

7 Sub-topics

Scatter Plots with scatterplot()

Line Plots with lineplot()

Using Hue for Color Encoding

Using Size for Point Scaling

Using Style for Marker Variation

Adding Multiple Semantic Mappings

Customizing Markers and Lines

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()

Saving and Exporting

1 Topics

Plot Export and File Management

7 Sub-topics

Saving Plots with savefig()

File Formats (PNG, SVG, PDF, EPS)

Resolution and DPI Settings

Transparent Backgrounds

Bbox Settings for Cropping

Exporting for Publications

Batch Saving Multiple Plots

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Quick Start with Seaborn

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

Start Your Journey Today

Quick Start with Seaborn

Certificate of Completion

Course Curriculum

Student Reviews

Frequently Asked Questions

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