Experienced Tableau users seeking advanced skills
Data analysts and business intelligence professionals
Tableau developers building complex dashboards
Reporting and analytics leads
Professionals designing enterprise-scale dashboards
Analytics consultants supporting advanced use cases
BI teams responsible for dashboard performance and scalability
Learners targeting advanced Tableau or BI roles
Master advanced calculations, table calculations, and LOD expressions
Apply complex filters, parameters, and parameter actions
Build advanced and custom Tableau visualizations
Design interactive, scalable, and user-friendly dashboards
Implement best practices for dashboard layout and UX
Optimize Tableau dashboards for performance and efficiency
Analyze and resolve performance bottlenecks
Deliver enterprise-ready analytics and insights
Advanced Tableau Training: Calculations, LODs, and Dashboards is an advanced, hands-on course designed for professionals who want to deepen their expertise in Tableau analytics and dashboard development. The course focuses on advanced calculations, Level of Detail (LOD) expressions, complex interactivity, and performance optimization to support enterprise-scale analytics.
Learners begin with a structured recap of Tableau fundamentals to ensure a strong foundation, then progress into advanced data transformations, calculations, and analytical techniques. The training covers advanced regular calculations, table calculations, LOD expressions, date and spatial functions, along with sophisticated use of filters, parameters, sets, and bins for dynamic analysis.
As the course advances, learners focus on building complex visualizations and highly interactive dashboards using best-practice design principles. Emphasis is placed on dashboard usability, storytelling with data, and performance tuning, including identifying bottlenecks and optimizing slow dashboards using Tableau’s performance recording tools.
By the end of the course, learners will be able to design scalable, high-performing Tableau dashboards, apply advanced analytical logic, and deliver meaningful insights—making this course ideal for experienced Tableau users, analysts, and BI professionals working in data-driven environments.
Module 1: Tableau Desktop Recap
Tableau Desktop interface and data connections
Basic visualizations, calculations, filters, and parameters
Module 2: Advanced Data Transformations
Creating and managing data hierarchies
Using dynamic hierarchies for analysis
Module 3: Advanced Calculations
Advanced regular and table calculations
Advanced LOD expressions (FIXED, INCLUDE, EXCLUDE)
Advanced date and spatial calculations
Module 4: Advanced Filters and Parameters
Dynamic and contextual filtering techniques
Advanced parameter usage and parameter actions
Module 5: Advanced Grouping Techniques
Groups, sets, and dynamic sets
Creating and using bins for analysis
Module 6: Advanced Visualizations
KPI, combo, and advanced chart types
Specialized visualizations and design best practices
Module 7: Advanced Dashboard Design and Interactivity
Dashboard design principles and user experience
Action filters, highlight actions, and storytelling
Module 8: Performance Optimization and Monitoring
Dashboard performance optimization techniques
Using performance recording and analysis tools
To successfully complete Advanced Tableau Training: Calculations, LODs, and Dashboards, learners should have:
Prior experience using Tableau Desktop
Ability to create basic charts and dashboards
Experience with basic calculated fields and aggregations
Understanding of filters, parameters, and sorting
Familiarity with business data and analytical concepts
By the end of this course, you will be able to:
Create advanced calculations, table calculations, and LOD expressions
Apply complex filters, parameters, and parameter actions
Build advanced visualizations and custom chart types
Design interactive, user-friendly, and scalable dashboards
Apply data storytelling techniques to communicate insights
Optimize Tableau dashboards for performance and efficiency
Analyze and resolve performance bottlenecks using Tableau tools
Deliver high-quality dashboards for enterprise analytics
This course prepares learners for advanced analytics and dashboarding responsibilities. After completing the training, learners will be better prepared for roles such as:
Senior Data Analyst
Business Intelligence Analyst
Tableau Developer
Analytics Consultant
Reporting Lead
Data Visualization Specialist
As organizations increasingly rely on dashboards and advanced analytics to support strategic decision-making, there is a growing demand for professionals who can go beyond basic visualizations and build complex, high-performing Tableau solutions. While many teams use Tableau for reporting, advanced capabilities such as LOD expressions, complex calculations, interactivity, and performance optimization are critical for delivering trusted, scalable analytics.
Across industries including finance, healthcare, retail, marketing, operations, and technology, experienced analysts and BI teams are expected to handle large datasets, implement advanced analytical logic, and design dashboards that remain responsive and reliable at scale. Poorly optimized dashboards, incorrect calculations, or inefficient data models can limit the value of analytics and slow business decisions.
This course directly addresses the growing need for:
Advanced Tableau users responsible for complex analytics and reporting
BI and analytics teams supporting executive and enterprise dashboards
Organizations scaling Tableau across departments and large datasets
Professionals optimizing dashboard performance and usability
Teams implementing advanced calculations, LODs, and interactivity
Enterprises seeking consistent, governed, and high-quality analytics
By strengthening advanced Tableau skills, learners gain the ability to build robust, scalable dashboards, apply precise analytical logic, and optimize performance. This course helps organizations maximize the value of their Tableau investments and enables professionals to deliver analytics that drive confident, data-driven decisions.