Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson
With Pearson
Duration: 6h 35m
Skill level: Intermediate
Released: 2/26/2026
Course details
How can you consolidate and simplify large amounts of information to help people understand it? Data visualization, that’s how. As data continues to grow in volume and complexity, the importance of effective visualization increases. In this course, Bruno Goncalves explores how the human visual cortex processes colors and shapes and how we can utilize these mechanisms for effective visualization using Python’s powerful visualization libraries.
Starting with two core libraries—pandas and Matplotlib—conquer the basics of Python data pre-processing and visualization before moving on to more advanced packages. Seaborn, built on top of Matplotlib, simplifies common tasks and enhances productivity. Interactive visualizations using bokeh and Plotly are also explored. You will use Jupyter Notebooks to craft visualizations.
Note: This course was created by Pearson and Bruno Goncalves. We are pleased to host this training in our library.
Skills you’ll gain
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Contents
What’s included
- Learn on the go Access on tablet and phone
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