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Introduction to Data Visualization with Seaborn

Beginner
4.7+
99 reviews
Updated 12/2024
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
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PythonData Visualization4 hours14 videos44 exercises3,700 XP137,693Statement 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 Python
1

Introduction to Seaborn

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2

Visualizing Two Quantitative Variables

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3

Visualizing a Categorical and a Quantitative Variable

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4

Customizing Seaborn Plots

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Introduction to Data Visualization with Seaborn
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*4.7
from 99 reviews
84%
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  • Dimitris L.
    about 1 month

    nice course

  • Amel A.
    about 1 month

    This course had a good balance of video materials and hands on exercises. Doing the bonus material was super useful and I recommend doing them. The course is doable in one month if you have done previous beginner python course.

  • Manuela P.
    about 2 months

    very clear

  • Ileana R.
    3 months

    Great course! Very clear with fantastic exercises

  • Rajamanickam S.
    3 months

    Interesting and enjoyable learning

"nice course"

Dimitris L.

"This course had a good balance of video materials and hands on exercises. Doing the bonus material was super useful and I recommend doing them. The course is doable in one month if you have done previous beginner python course."

Amel A.

"very clear"

Manuela P.

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