Learn how to create informative and attractive visualizations in Python using the Seaborn library.
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.
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.
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.
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.
