About course

Unlock the power of data visualization with Python in this course dedicated to Matplotlib and Seaborn. Whether you’re presenting findings, telling a story with data, or analyzing patterns, learning to visualize data effectively is essential. This course will teach you how to transform raw data into insightful and visually appealing charts and graphs.

What you will learn

You’ll learn the foundations of data visualization using Matplotlib, Python’s most popular plotting library, followed by the advanced features of Seaborn for creating informative statistical graphics. From basic line plots to complex heatmaps, this course will equip you with the skills to communicate data insights with clarity and impact.

Syllabus

Introduction to Matplotlib

Plotting Basics

Customizing Matplotlib Plots

Subplots

Bar and Histogram Plots

Pie Charts and Box Plots

Real-World Data Visualization

Introduction to Seaborn

Seaborn Basics

Customizing Seaborn Plots

Bar and Count Plots in Seaborn

Histograms and KDE Plots

Pair Plots and Heatmaps

Advanced Seaborn Visualizations