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Data Analysis and Visualization with Python / Module 11

Module 11

Statistical and Presentation Visualization with Seaborn

Learners can use Seaborn for relationship, distribution, categorical, faceted, and regression-style exploratory visuals while keeping interpretations careful and non-causal.

Downloadable-first courseRead the lesson online, then use the downloadable pack to run the practice and worked notebooks locally. A browser lab can be added later after full visualization runtime validation.

Module sequence

  1. LessonRead the classroom explanation
  2. Practice activityUse the supplied notebook and dataset
  3. Module checkConfirm the skill before moving on

Notebook path

After downloading the pack, open modules/module-11/notebooks/module-11-practice.ipynb in JupyterLab.