Data Visualizations with Plotly

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.