Applied Tableau Analytics: Calculations and Dynamic Dashboard Development

Develop advanced Tableau calculations

On this three-week course, you’ll develop your Tableau calculations skills and learn how to apply business logic to your analysis.

You’ll create calculated fields using arithmetic, logical, date, and string functions, while learning how row-level and aggregate calculations work. You’ll use these techniques to build reusable business metrics, including sales growth, profit ratios, contribution analysis, and KPI indicators.

Apply advanced Tableau analytics

Go beyond basic analysis with advanced Tableau techniques that help you answer more complex business questions. You’ll explore table calculations, including running totals, percent of total, moving averages, ranks, and window functions.

You’ll also learn how to use Level of Detail (LOD) expressions, including FIXED, INCLUDE, and EXCLUDE, alongside parameters, trend lines, reference lines, forecasting, clustering, and outlier analysis. These skills will help you create more sophisticated analytical views and uncover meaningful patterns in your data.

Create dynamic Tableau dashboards

Turn your analysis into polished, interactive experiences designed for business audiences. You’ll use filter, highlight, URL, parameter, and set actions to give users greater control over how they explore data.

You’ll also explore dynamic titles, show/hide containers, navigation buttons, guided filters, visual hierarchy, accessibility, and storytelling principles.

By the end of the course, you’ll have the skills to design professional Tableau dashboards that combine analytical depth with effective data visualisation.

This course is designed for learners who have completed a foundational Tableau course or have working familiarity with Tableau Desktop and are ready to move into calculations, analytical depth, and professional dashboard design. The primary audience includes data analysts, BI developers, and reporting specialists looking to strengthen their Tableau capability beyond basic chart building and move into work that requires business logic, advanced analytical techniques, and polished, interactive dashboards.

It directly supports career progression for roles such as Senior Data Analyst, BI Analyst, Tableau Developer, and Analytics Consultant across sectors including finance, retail, healthcare, consulting, and technology, where the ability to build calculated metrics, apply LOD expressions, and deliver executive-grade dashboards is a clear differentiator in hiring and promotion decisions.

The course is also relevant for business analysts who need to own their reporting end-to-end, team leads responsible for setting a dashboard design standard, and professionals preparing for the Tableau Desktop Specialist or Tableau Certified Data Analyst certification. Basic Tableau experience is required; learners should be comfortable connecting to data and building simple views before joining.

This course is designed for learners who have completed a foundational Tableau course or have working familiarity with Tableau Desktop and are ready to move into calculations, analytical depth, and professional dashboard design. The primary audience includes data analysts, BI developers, and reporting specialists looking to strengthen their Tableau capability beyond basic chart building and move into work that requires business logic, advanced analytical techniques, and polished, interactive dashboards.

It directly supports career progression for roles such as Senior Data Analyst, BI Analyst, Tableau Developer, and Analytics Consultant across sectors including finance, retail, healthcare, consulting, and technology, where the ability to build calculated metrics, apply LOD expressions, and deliver executive-grade dashboards is a clear differentiator in hiring and promotion decisions.

The course is also relevant for business analysts who need to own their reporting end-to-end, team leads responsible for setting a dashboard design standard, and professionals preparing for the Tableau Desktop Specialist or Tableau Certified Data Analyst certification. Basic Tableau experience is required; learners should be comfortable connecting to data and building simple views before joining.

• Apply advanced Tableau calculations and business logic to solve complex analytical requirements.
• Compare table calculations, LOD expressions, parameters, and filters based on analytical context and granularity.
• Assess spatial, statistical, predictive, and comparative techniques to identify patterns and trends.
• Create dynamic dashboards using advanced actions, adaptive layouts, navigation, and interactive controls.
• Design decision-focused Tableau experiences that combine advanced analytics, accessibility, and visual storytelling.