Data Visualization with Python

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About Course

This course is designed for learners who already understand Python but want to master the art of turning raw data into compelling visual stories. It focuses on using Python’s most powerful visualization libraries Matplotlib, Seaborn, Plotly, and Folium to create static, animated, and interactive charts. Learners will build dashboards, explore geospatial data, and learn how to choose the right chart for the right insight.

What Will You Learn?

  • Fundamentals of data visualization and design principles
  • How to use Matplotlib for basic and customized plots
  • Creating statistical plots with Seaborn
  • Building interactive charts and dashboards with Plotly and Dash
  • Visualizing geospatial data using Folium and Choropleth maps
  • Advanced visuals: waffle charts, word clouds, sunburst plots
  • Best practices for storytelling with data
  • Dashboard layout and interactivity for non-technical audiences

Course Content

Module 1 — Visualization foundations
Understand why visualization matters and how to choose the right chart.

  • Principles of effective data visualization
  • Chart types and when to use them
  • Color theory, accessibility, and storytelling

Module 2 — Matplotlib basics
Learn the core plotting library in Python.

Module 3 — Statistical plots with Seaborn
Create beautiful, informative statistical visuals.

Module 4 — Interactive charts with Plotly
Build dynamic visuals and dashboards.

Module 5 — Geospatial visualization with Folium
Map data and tell location-based stories.

Module 6 — Advanced visuals and storytelling
Go beyond basics to create memorable visuals.

Module 7 — Capstone project
Build a dashboard or visual report from scratch.

Earn a certificate

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