Python for Data Visualization: Matplotlib & Seaborn
About this course
In this hands-on project, we will understand the fundamentals of data visualization with Python and leverage the power of two important python libraries known as Matplotlib and seaborn. We will learn how to generate line plots, scatterplots, histograms, distribution plot, 3D plots, pie charts, pair plots, countplots and many more! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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What you'll learn
- Create line, scatter, histogram, and pie charts with Matplotlib
- Generate distribution, pair, and count plots using Seaborn
- Build 3‑dimensional visualizations in Python
- Apply styling and labeling techniques to improve chart readability
Course objectives
- Understand the core concepts behind Python data‑visualization libraries
- Develop hands‑on skills for producing common chart types
- Learn how to customize visual elements such as colors, axes, and legends
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