Overview

Data science projects live or die on communication. Without clear, compelling visuals, even the most rigorous analysis gets ignored, misread, or shelved. Plotly gives Python practitioners a direct path from raw numbers to interactive, publication-quality charts that stakeholders can interpret and act on, all without leaving Python. You'll build a full command of Plotly's visualization library: from basic line, bar, and scatter charts to statistical distributions, 3D plots, geographic maps, sunburst diagrams, and Sankey flows. Along the way, you'll configure figures using both Plotly Express and Graph Objects, add interactive controls like sliders and dropdown menus, combine charts into subplots, and deploy a Dash dashboard that brings all your visuals together in one shareable application. By the end of this course, you'll produce a full suite of interactive, presentation-ready data visualizations in Python that communicate your findings with clarity and confidence to any stakeholder audience.

Syllabus

Getting Plotly Up and Running

Your analyses are only as powerful as your ability to share them with the people who need them. In this module, you'll survey Plotly's chart library, map its capabilities to your visualization needs, and produce your first interactive chart using Plotly Express.

Configuring Figures and Sharing Interactive Visuals

Your chart is only as impactful as your ability to customize and share it on your terms. In this module, you'll configure Plotly figure attributes using update_layout and magic underscore syntax, choose between Plotly Express and Graph Objects for each use case, and export your visuals as interactive HTML files ready to share with any audience.

Building Core Charts with Plotly Express

Your data tells a story, but the chart type you choose determines whether your audience can read it. In this module, you'll build line, bar, scatter, and bubble charts with Plotly Express, apply statistical charts to reveal distribution patterns in your data, and extend your toolkit to interactive 3D visualizations that give your audience a new perspective on multi-dimensional relationships.

Crafting Specialized Visualizations with Plotly

Your most memorable data stories are often told by chart types your colleagues have never seen before. In this module, you'll build three of Plotly's most striking specialized chart types: geographic maps that display location-based data on interactive backgrounds, sunburst charts that reveal proportions within hierarchical data, and Sankey diagrams that trace flows between sequential states.

Animating, Combining, and Deploying Plotly Visuals

Your visualizations become tools when your audience can interact with them. In this module, you'll add dropdown menus and button controls to individual Plotly figures, combine multiple charts into a unified subplot layout, and package your visuals into a live Dash web application that users can drive directly from a browser.