Data visualization is a powerful tool for exploring and communicating insights from data effectively. Seaborn, a Python visualization library built on top of Matplotlib, offers a wide range of features for creating attractive and informative statistical plots. This course provides a comprehensive overview of Seaborn, covering basic plotting techniques as well as advanced statistical visualizations. Participants will learn how to leverage Seaborn to visualize data distributions, relationships, and patterns, enabling them to convey complex information visually with confidence.
Seaborn: Visualizing Basics to Advanced Statistical Plots
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Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain the importance of data visualization in data analysis and interpretation.
Create basic plots using Seaborn to visualize data distributions and relationships.
Utilize advanced statistical plots in Seaborn for in-depth data analysis and exploration.
Customize and enhance Seaborn visualizations to effectively communicate insights from data.
Skills you'll gain
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Recently updated!
September 2024
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Data visualization is a powerful tool for exploring and communicating insights from data effectively. Seaborn, a Python visualization library built on top of Matplotlib, offers a wide range of features for creating attractive and informative statistical plots. This course provides a comprehensive overview of Seaborn, covering basic plotting techniques as well as advanced statistical visualizations.
What's included
11 videos4 readings1 assignment2 discussion prompts
Instructor
6 Courses1,755 learners
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
University of Colorado Boulder
Coursera Project Network
Duke University
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