Statistical Visualization
Master advanced statistical data visualization with Seaborn. Explore elegant themes, complex plots, and aesthetic styling to create beautiful data insights.
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Learning Objectives
What You will Learn in This Course
Master the Seaborn API for statistical plotting.
Visualize distributions using KDE, Box, and Violin plots.
Explore relationships with Regression and Joint plots.
Master categorical data visualization with Heatmaps and Cluster maps.
Learn to work with FacetGrids and PairGrids.
Customize aesthetic themes and color palettes.
Perform automatic statistical estimation within plots.
Integrate Seaborn seamlessly with Pandas DataFrames.
Course Schedule
Stay on Track with This Schedule
Multi-Plot Faceting
Deep dive into FacetGrid, PairGrid, and JointGrid architecture.
Regression Mastery
Build advanced linear and logistical modeling visualizations.
Hierarchical Data
Build cluster maps, dendrograms, and complex correlation heatmaps.
Advanced Customization
Combine Seaborn objects with Matplotlib axes for precise control.
Publication Styling
Brand your visuals and create bespoke themes for production.
Full Analysis Project
Create a comprehensive data narrative for a financial or medical dataset.
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