Introduction to Data Visualization with Seaborn

Its four hands-on chapters have you build the core chart types — scatter, line, bar and box plots — customise them, and use them to actually communicate a finding rather than just render it. It's a natural next step once you can wrangle data in Python, and not the place to start if you can't yet, or if you need advanced or interactive visualisation. Access is via DataCamp's subscription (roughly $14/month on the annual plan, first chapter free); the completion certificate documents the learning rather than certifying it. Seaborn is a stable, widely used library (as of 2026).

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.