Course
Introduction to Data Visualization with Seaborn
BasicSkill Level
Updated 07/2024Start Course for Free
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PythonData Visualization4 hr14 videos44 Exercises3,700 XP153,543Statement of Accomplishment
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Course Description
Create Your Own Seaborn Plots
Seaborn is a powerful Python library that makes it easy to create informative and attractive data visualizations. This 4-hour course provides an introduction to how you can use Seaborn to create a variety of plots, including scatter plots, count plots, bar plots, and box plots, and how you can customize your visualizations.Turn Real Datasets into Custom Seaborn Visualizations
You’ll explore this library and create your Seaborn plots based on a variety of real-world data sets, including exploring how air pollution in a city changes through the day and looking at what young people like to do in their free time. This data will give you the opportunity to find out about Seaborn’s advantages first hand, including how you can easily create subplots in a single figure and how to automatically calculate confidence intervals.Improve Your Data Communication Skills
By the end of this course, you’ll be able to use Seaborn in various situations to explore your data and effectively communicate the results of your data analysis to others. These skills are highly sought-after for data analysts, data scientists, and any other job that may involve creating data visualizations. If you’d like to continue your learning, this course is part of several tracks, including the Data Visualization track, where you can add more libraries and techniques to your skillset.Prerequisites
Introduction to Data Science in Python1
Introduction to Seaborn
2
Visualizing Two Quantitative Variables
3
Visualizing a Categorical and a Quantitative Variable
4
Customizing Seaborn Plots
Introduction to Data Visualization with Seaborn
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