This course covers Seaborn, a data visualization library, with real-world examples. It teaches how Seaborn simplifies plot creation compared to Matplotlib. The course covers various plots like distribution, joint, KDE, pair, bar, count, box, violin, strip, swarm, heatmaps, cluster map, pair grid, facet grid, and regression plots. The intended audience includes individuals interested in data science, machine learning, and data visualization. The teaching method involves practical examples and demonstrations.
Overview
Syllabus
Intro.
Setup.
Import Data & Datasets.
Distribution Plot.
Joint Plot.
Hexagon Distribution.
KDE Plot.
Pair Plot.
Rug Plot.
Styling.
Bar Plot.
Count Plot.
Box Plot.
Violin Plot.
Strip Plot.
Swarm Plot.
Palettes.
Heatmaps.
Cluster Map.
Pair Grid.
Facet Grid.
Regression Plots.
Taught by
Derek Banas
