Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. This Skill Tree offers a structured learning path for mastering data visualization with Matplotlib. Ideal for data science beginners, it provides a clear roadmap to understand plot types, customization, and integration with data analysis workflows. Through hands-on, non-video courses and practical exercises in an interactive plotting playground, you'll gain real-world experience in creating compelling data visualizations.
35 Skills|3 Courses|2 Projects
Quick Start with Matplotlib
Quick Start with Matplotlib
Beginner
MatplotlibPython
This course is a quick tutorial on Matplotlib, a Python library for drawing 2D and 3D graphics. It is designed to get you started with Matplotlib quickly.
This course contains lots of labs for Matplotlib, each lab is a small Matplotlib project with detailed guidance and solutions. You can practice your Matplotlib skills by completing these labs, improve your coding skills, and learn how to write clean and efficient code.
Lab
Seaborn Data Visualization Basics
Beginner
MatplotlibSeaborn
In this course, you will learn how to use Seaborn, a Python library for producing statistical graphics. You will learn how to use Seaborn's sophisticated visualization tools to analyze your data, create informative visualizations, and communicate your results with ease.
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