A DataCamp course on Python's most approachable plotting library. Across four hands-on chapters you build the core chart types — scatter, line, bar and box plots — customise them, and use them to communicate findings. Practical and beginner-friendly, a natural next step once you can manipulate data in Python.
Good for: Learning to make clear charts in Python with Seaborn.
Less suitable if: You do not know basic Python, or want advanced/interactive visualisation.
Skills you'll gain
SeabornData visualisationMatplotlib basicsChartsPythonCommunicating data
Introduction to Data Visualization with Seaborn teaches Python's most approachable plotting library. Across four hands-on chapters you build the core chart types — scatter, line, bar and box plots — customise them, and use them to explore real datasets, with Seaborn handling the styling so your charts look good by default.
What you'll learn
Create scatter, line, bar and box plots with Seaborn
Customise plot style, colour and labels
Visualise relationships between variables
Use Seaborn with pandas DataFrames
Choose the right chart for the question
Explore datasets visually (EDA)
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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