Master Data Visualization with Python

From basic plots to advanced statistical visualizations. Learn matplotlib and seaborn through interactive tutorials, hands-on practice, and real-world examples.

10,000+ learners
50+ tutorials
100+ examples
Data Visualization Hero
85%
Complete

Your Learning Journey

Track your progress and discover new visualization techniques

75%

Matplotlib Mastery

12 of 16 topics completed

60%

Seaborn Advanced

9 of 15 topics completed

30%

Practice Challenges

15 of 50 challenges solved

Interactive Learning Tree

Basic Plots

Line charts, scatter plots, bar charts

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Customization

Colors, styles, labels, legends

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Seaborn Stats

Statistical plots and relationships

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Advanced

Complex visualizations and techniques

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Featured Visualizations

Explore beautiful examples and learn by doing

Quick Start Guide

Get started with data visualization in just a few lines of code

Your First Plot

# Import libraries
import
matplotlib.pyplot as plt
import
numpy as np

# Create data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create plot
plt.figure(figsize=(8, 6))
plt.plot(x, y, label='sin(x)', color='blue')
plt.title('Sine Wave')
plt.xlabel('x')
plt.ylabel('y')
plt.legend()
plt.show()

Interactive result preview