Learning PathBeginner

Seaborn

Seaborn is a Python data visualization series focused on building clean statistical charts from Pandas DataFrames. It covers relational plots, distribution analysis, categorical comparisons, regression visuals, heatmaps, pair plots, themes, palettes, and practical chart-selection habits using original datasets.

#python #Seaborn

2 Lessons

95 min total

Beginner

Roadmap curriculum

Step 1

Mastering Seaborn: A Comprehensive Guide to Data Visualization

Learn Seaborn with original datasets and practical examples covering scatter plots, line plots, histograms, KDE plots, categorical charts, regression plots, heatmaps, clustermaps, pair plots, facets, themes, and palettes.

50 minJun 21, 2026

Step 2

Mastering Seaborn: Categorical and Regression Plots Explained

Go deeper with Seaborn using original datasets: strip plots, swarm plots, box plots, violin plots, bar plots, point plots, count plots, catplot facets, regplot, lmplot, residplot, FacetGrid, PairGrid, pairplot, jointplot, and JointGrid.

45 minJun 21, 2026