Matplotlib: Python Data Visualization & Wrangling

Coursera MOOC / Non-credit USD 49

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Matplotlib: Python Data Visualization & Wrangling

About this course

This Specialization equips learners with the skills to transform raw data into compelling, publication-ready visualizations using Python’s Matplotlib library. Starting with core plotting concepts, learners progress to advanced customization, 3D charts, and specialized layouts. Practical case studies, such as e-commerce data visualization, ensure hands-on application of concepts to real-world datasets. By the end, learners will be able to design and refine professional-grade visuals that communicate insights effectively for data science, business analytics, and research.

What you'll learn

Create basic and advanced plots using Python's Matplotlib library
Customize visualizations with professional styling and formatting
Build 3D charts and specialized plot layouts
Transform raw data into publication-ready visualizations
Apply visualization techniques to real-world datasets like e-commerce data

Course objectives

Master core plotting concepts in Matplotlib
Develop skills in advanced chart customization
Design professional-grade visualizations for data science and business analytics
Apply visualization techniques through hands-on case studies