Raw data alone rarely tells the full story. This Specialization teaches you to select the right chart for any dataset, build decision-ready dashboards in Excel, and create interactive, publication-quality visualizations in Python with Plotly. Across three courses, you'll classify data types and apply histograms, box plots, scatter plots, and multi-dimensional charts to real analytical questions; build pivot tables, formatted charts, and a multi-panel Excel dashboard ready for PowerPoint; and produce interactive Plotly visualizations including maps, sunburst charts, and Sankey diagrams, then deploy them in a live Dash web application. By the end, you'll match any dataset to the right technique and present your findings clearly to any audience.
Applied Learning Project
Through hands-on projects, you'll match chart types to real datasets using a structured selection framework, build and format pivot charts and a multi-panel Excel dashboard with end-user filtering and PowerPoint export, and deploy an interactive Dash web application combining Plotly line, bar, scatter, geographic, sunburst, and Sankey visualizations into a single shareable tool.
