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Data Visualization in Python

更新时间 2026年3月
Supercharge your data science skills using Python's most popular and robust data visualization libraries.
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学习路径描述

Data Visualization in Python

Supercharge your data science skills by learning how to create data visualization in Python. Over four courses and one assessment, you’ll explore Python's most popular and robust data visualization libraries, including Matplotlib, Seaborn, Bokeh, and others, to create beautiful static and interactive visualizations of categorical, aggregated, and geospatial data.Along the way, you’ll develop the essential skills to create informative visualizations that can showcase your data, giving you the confidence to create your own data visualizations with Python. Data visualization is fast becoming an essential skill in industries as diverse as finance, education, healthcare, retail, and more. This track will help you develop practical Python data visualization skills to apply across various data-driven roles, helping you tell stories with your data.

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  • Course

    1

    Introduction to Data Visualization with Matplotlib

    Learn how to create, customize, and share data visualizations using Matplotlib.

  • Skill Assessment

    额外

    Data Visualization with Python

Data Visualization in Python
4 课程
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