Learners will develop the ability to analyze data, create interactive visualizations, build dashboards, and interpret trends and forecasts using Tableau. This course guides learners from foundational concepts to advanced analytical techniques through structured, real-world applications.

The course begins by introducing Tableau and core data visualization principles, enabling learners to connect to data sources, navigate the interface, and explore data visually. Learners then progress to using Tableau’s tools and features to uncover patterns, perform time-based analysis, create sets and groups, and apply spatial mapping using transport datasets. Advanced topics such as forecasting, trend analysis, revenue evaluation, and dashboard communication are covered to support data-driven decision-making. The course concludes with data preparation techniques, dashboard development, and integration of R with Tableau for advanced statistical analysis. What makes this course unique is its end-to-end, practice-driven approach, combining concept clarity with applied case studies, progressive assessments, and real-world datasets. By completing this course, learners gain practical, job-ready Tableau skills that support roles in data analysis, business intelligence, and visualization-driven decision-making.