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Time Series Visualization with Seaborn

Master time series visualization for forecasting and trend analysis excellence!

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Time Series Visualization with Seaborn
4 Modules

Course Curriculum

4 Modules · 9 Chapters · 9 Topics · 60 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
Time Series Basics
3 Chapters · 3 Topics · 21 Sub-topics
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
Time Series Visualization
1 Topics
Plotting Temporal Data
7 Sub-topics
Plotting Time-Based Data
Date Formatting on Axes
Time Series Line Plots
Aggregating Time Data
Seasonal Patterns Visualization
Multiple Time Series Comparison
Time-Based Heatmaps
Working with DataFrames
1 Topics
Data Preparation for Seaborn
7 Sub-topics
Long-Form vs Wide-Form Data
Preparing Data for Seaborn
Using the data Parameter
Column-Based Plotting with x and y
Handling Missing Values
Using Index as Plot Variable
Melting and Reshaping Data for Seaborn
03
Advanced Techniques
2 Chapters · 2 Topics · 13 Sub-topics
Multi-Plot Grids Part 1
1 Topics
Creating Multi-Panel Visualizations
6 Sub-topics
Understanding FacetGrid
Creating Grids with FacetGrid()
Mapping Functions to Grids
Using Row and Column Variables
Customizing Grid Layout
Adding Legends to Grids
Matrix Plots
1 Topics
Heatmaps and Matrix Visualizations
7 Sub-topics
Heatmaps with heatmap()
Correlation Matrices Visualization
Annotating Heatmaps
Cluster Maps with clustermap()
Customizing Color Maps
Adding Dendrograms
Pivot Tables with Heatmaps
04
Professional Output
2 Chapters · 2 Topics · 14 Sub-topics
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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