This Tableau course focuses on mastering time series analysis and Quick Table Calculations, enabling you to derive meaningful insights from your data efficiently. It is designed for learners who want to move beyond basic charts and perform in-depth temporal and comparative analysis.

You will learn how to calculate moving averages and understand why they are crucial for trend analysis. Running totals, accumulative totals, and percent of total calculations are covered in detail, along with multiple examples using both Excel and Tableau.

The course teaches how to rank data using Quick Table Calculations, perform difference calculations, and analyze relative percentages for effective comparison across different categories and time periods. Practical demonstrations show how to apply these calculations to real-world datasets for actionable insights.

Advanced visualization techniques are included to combine these calculations with different chart types such as bar, line, area, heat maps, scatter plots, word clouds, density plots, Gantt charts, and more. You will also explore Level of Detail (LOD) calculations to manage data aggregation and ensure precise analysis.

By the end of this course, you will be able to perform advanced time series analysis, apply quick table calculations with confidence, and create dynamic dashboards that highlight trends, comparisons, and key metrics effectively.