The Data Visualization using Tableau course introduces learners to the principles of effective data visualization and guides them in creating impactful visual stories using Tableau. Starting with an overview of data visualization concepts and Tableau’s interface, the course covers connecting to various data sources, preparing and cleaning data, and understanding data roles like dimensions and measures. Learners will build basic charts such as bar, line, and pie charts, and progress to advanced visualizations like dual-axis charts, heatmaps, tree maps, and geospatial maps. The course also covers calculations, table computations, level-of-detail expressions, and adding analytical elements like trend lines, forecasts, and reference lines. Participants will design interactive dashboards and stories, apply filters, groups, sets, and actions, and learn best practices for presenting insights effectively. The course concludes with guidance on sharing and publishing dashboards, and a capstone project to apply skills on a real-world dataset.

Optional Topics (Advanced/Optional)

• Tableau Prep for data preparation

• Performance optimization tips

• Embedding Tableau in other apps

• Using Tableau with R & Python

• Introduction to Tableau Extensions API