Free
CourseData Visualization with Python: Seaborn
Turn pandas DataFrames into publication-ready visualizations using Seaborn.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary2 hoursProjects
1Prerequisites
2 coursesWe suggest you complete the following courses before you get started with Data Visualization with Python: Seaborn:- Intro to Data Visualization with Python
- Data Visualization with Python: Visual Arguments
About this course
Continue your Data Visualization with Python learning journey. In this course, you will learn how to use the Seaborn library to turn Pandas DataFrames into publishable data visualizations.
Skills you'll gain
Create bar and line charts
Create scatterplots and histograms
Use Seaborn’s built-in features
Annotate charts with error bars and text
Syllabus
Seaborn
Learn to make effective, customized data visualizations in Python with Seaborn.
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Related resources
- Article
How to Select a Meaningful Visualization
This article will guide you through the process of selecting a graph for a visualization. - Article
Seaborn Styling, Part 2: Color
Learn how to work with color in Seaborn and choose appropriate color palettes for your datasets. - Article
Seaborn Styling, Part 1: Figure Style and Scale
Learn how to customize your figures and scale plots for different presentation settings.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.