Equinet Academy
Build dashboards that do not just display data. Build ones that change how people see it.
Course Description
What is This Course About?
A dashboard is not a collection of charts. It is a decision interface.
By the time you reach this module, you have the analytical foundations and the applied modelling capability to produce rigorous insights. This module develops the ability to make those insights visible so the right person can act on them quickly and confidently.
Using Tableau as the primary build environment, you will learn to select the right visualisation technique for each analytical question, design structured dashboards with clear visual hierarchy, incorporate interactive features that let stakeholders explore data without losing interpretive control, and communicate both what the data shows and what it does not.
The emphasis is on visual judgment as much as technical execution. Anyone can produce a chart. This course teaches you to produce dashboards that are accurate, navigable, and genuinely useful to the people who rely on them to make decisions.
By the end of this course, you will be able to build executive-ready Tableau dashboards that reflect trends, benchmark performance against internal and external standards, and guide business decisions with clarity and confidence.
Target Audience
Who This Course is For
This course is designed for professionals with a solid analytical foundation who are ready to translate their analysis into Tableau dashboards that stakeholders can use.
- Data analysts building executive dashboards that need to be both rigorous and navigable
- Business analysts are responsible for presenting performance metrics to leadership
- BI professionals are deepening their Tableau capability beyond basic charts and into structured dashboard design
- Managers overseeing data-driven reporting who need to understand what good Tableau output looks like
- Professionals who have completed Modules 1 to 3 and are ready to develop a professional-grade visualisation capability
If you produce an analysis that deserves to be seen clearly, this course ensures it is.
Prerequisites
What You’ll Need to Get Started
You should have:
- Completion of Modules 1 to 3 of the Certified AI-Enabled Data Analyst programme, or equivalent foundational analytics and data interpretation experience
- Basic familiarity with how dashboards work as a concept, even if not with Tableau specifically
- Comfort interpreting data outputs and drawing conclusions from analytical findings
- A laptop with Tableau Desktop installed or accessible (setup guidance provided ahead of the course)
Course Highlights
What You’ll Learn
Across three learning units, you will move from visualisation selection principles through interactive dashboard construction to strategic presentation and communication of findings. Specifically, you will learn:
- Tableau’s chart and mark type library, and how to match the right visual to each analytical question
- Chart selection frameworks for deciding between bars, lines, maps, scatter plots, treemaps and more based on data type and audience need
- Tableau-specific display types: heat maps, highlight tables, bullet charts and combined axis views for complex comparisons
- Dashboard architecture in Tableau: layout containers, tiled vs floating design, device-specific views and visual hierarchy principles
- Interactive feature configuration: filters, dashboard actions, parameters, and highlight controls that guide exploration without overwhelming
- Dynamic display elements: calculated fields, LOD expressions and set actions for context-driven, audience-specific views
- Benchmark scorecard design: reference lines, target lines and variance indicators for performance tracking against internal and external standards
- Visual editing discipline: removing chart junk, applying formatting best practice and adapting dashboards for executive vs analyst audiences
- Communicating data limitations responsibly: annotations, disclaimers, confidence intervals and null handling within Tableau
Course Objectives
What You’ll Takeaway
By the end of this course, you will be able to:
- Select appropriate visualisation techniques and organise the data presentation to effectively reflect trends and correlations.
- Develop dashboards and scorecards incorporating interactive graphics and dynamic display features.
- Communicate analytical insights and limitations clearly to ensure accurate interpretation by stakeholders.
Skills You’ll Acquire
Completing this course, you will develop the following Tableau-specific visual intelligence capabilities:
Tableau Dashboard Development
Build structured dashboards and scorecards in Tableau for executive and analyst audiences
Visual Technique Selection
Match Tableau chart types and mark types to analytical objectives and data structures
Data Representation Evaluation
Assess which visual formats best serve each analytical question and stakeholder context
Interactive Feature Configuration
Build filters, dashboard actions, parameters and highlight controls into Tableau dashboards
Dashboard Architecture Design
Structure tiled and floating layouts with clear visual hierarchy and device-specific optimisation
Dynamic Display Design
Use calculated fields, LOD expressions and set actions to create context-sensitive views
Trend and Correlation Presentation
Organise Tableau visuals to surface key patterns and guide the viewer toward the right conclusion
Benchmark Scorecard Design
Build reference lines, target lines and variance indicators for performance comparison dashboards
Data Limitation Communication
Annotate, document and contextualise data constraints and interpretation boundaries within Tableau
Visual Judgement Application
Exercise editorial discipline in chart selection, formatting and layout to produce clean, credible outputs
Analytical Method Validation
Verify that visual representations accurately reflect the underlying data and analytical methodology
Certification Track
Level up!
This is Module 4 of the Certified AI-Enabled Data Analyst programme.
Module 1: Data Analytics and Data Literacy Essentials
Module 2: Business Analytics and Applied Data Analysis
Module 3: Power BI
Module 4: Advanced Data Visualisation and Dashboarding with Tableau
Module 5: Data Storytelling and Executive Communication
This module brings your analytical capability into its most visible form, structured, interactive Tableau dashboards that executives can navigate and trust. Module 5 will then show you how to wrap those visuals in a narrative that moves people to act.
A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Advanced Data Visualisation & Dashboarding with Tableau course assessment and achieved at least 75% attendance.
Course Outline
Inside The Course
This course moves from visualisation selection and Tableau fundamentals through interactive dashboard construction to strategic presentation and responsible communication of findings. Topics are Tableau-specific throughout, building on the analytical foundations from earlier modules rather than repeating them.
Visualisation Foundations and Technique Selection
- Tableau workspace orientation: chart types, mark types and the visual encoding system
- Selecting the right chart type in Tableau: bars, lines, scatter plots, maps, treemaps and when each applies
- Tableau-specific display types: heat maps, highlight tables, bullet charts and combined axis views for complex comparisons
- Reading and interpreting Tableau visual outputs: tooltips, reference lines, trend lines and forecasting indicators
- Applying a chart selection framework to Tableau builds based on analytical objective and audience context
Dashboard Architecture and Interactive Design
- Tableau dashboard architecture: layout containers, tiled vs floating objects, device-specific design and visual hierarchy
- Building and publishing Tableau dashboards and scorecards with internal KPIs and external benchmarks
- Configuring Tableau interactivity: filters, dashboard actions, parameters and highlight controls
- Dynamic display elements in Tableau: calculated fields, LOD expressions and set actions for contextual, audience-specific views
- Structuring Tableau dashboard layouts to direct the viewer’s attention and surface key trends clearly
Strategic Presentation and Communication of Findings
- Communicating data limitations in Tableau: annotations, disclaimers, confidence intervals and null value handling
- Visual editing discipline in Tableau: removing chart junk, applying formatting best practice and refining for executive clarity
- Adapting Tableau dashboards for different audiences: executive summary views vs analyst drill-down layers
- Dashboard performance optimisation in Tableau: extract configuration, mobile responsiveness and publication settings
- Designing benchmark scorecards in Tableau: reference bands, target lines and variance indicators for performance tracking against internal and external data
Assessment Methods
- Case Study Written Assessment
- Individual Project Presentation
Trainers
Meet Your Educators
Trainer Bio
Clarence Tan
Clarence is a seasoned data analytics specialist with a decade of experience spanning finance, banking, technology, and real estate. He currently leads a team of analysts for a leading tech giant, delivering exceptional value through innovative data solutions and strategic insights.
Course Fee & Funding
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Full Course Fee (without funding)
S$499.00 S$999.00
Course Schedule
Mark Your Calendar!
Duration: 2 Days / 16 Hours
This applied workshop is built first. Each session alternates between brief instruction in Tableau techniques and immediate hands-on application. By the end of Day 2, every participant will have completed a structured, interactive Tableau dashboard ready for stakeholder review.
| Learning Mode | Course Dates | Duration | Trainer |
|---|---|---|---|
| In-Person | 16, 17 Jul 2026 (Thu, Fri) | 9:00am - 6:00pm | |
| In-Person | 01, 02 Oct 2026 (Thu, Fri) | 9:00am - 6:00pm | |
| In-Person | 10, 11 Dec 2026 (Thu, Fri) | 9:00am - 6:00pm |
Click on the course dates above to register online.
Frequently Asked Questions (FAQs)
The Need-to-Know Stuff, Fast
Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.
Some basic familiarity is helpful but not required. The course begins with a Tableau workspace orientation before moving on to advanced dashboard structure and visual judgment. If you have never opened Tableau, complete the free Tableau Public tutorials before Day 1.
Yes. Both days are structured around hands-on Tableau builds. You will design, configure and refine structured dashboards and scorecards using real datasets throughout the programme.
No. Visual judgment depends on analytical judgment. The course covers how to select and configure visualisations that accurately represent what the underlying data shows, including how to communicate what it does not show.
Yes. You will design Tableau scorecards with reference lines, target lines and variance indicators to display performance against internal KPIs and external benchmarks.
Module 3 (Power BI) covers AI-enhanced business intelligence workflows with a focus on the Microsoft ecosystem. This module focuses on advanced visual design and interactivity in Tableau, with a particular emphasis on visual judgment, dashboard architecture and responsible communication of findings.
This module gives you the visual execution capability. Module 5 then shows you how to wrap those dashboards in a narrative structure that moves executives to act. The two modules are deliberately sequential.
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