WSQ - Data Storytelling with Tableau

Topic 1: Data Storytelling using Tableau

• Data Storytelling models
• Introduction to Tableau

Topic 2: Drawing Insights from Visualization

• Design principles for visualization
• Draw insights and trends from visualizations

Topic 3: Develop Dashboards and Stories

• Create dashboards
• Story planning and storyboarding
• Identify storytelling context and objectives
• Identify linkages between data and visuals
• Develop stories using Tableau

Topic 4: Present and Review Stories

• Know your audience
• Present your stories to stakeholders
• Update stories with subject matter experts

Topic 5: Create Interactive Stories

• Introduction to calculation and parameters
• Introduction to actions
• Create interactive visualizations for dashboards and stories

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.
• Minimum 18 years old

Minimum Software/Hardware Requirement

Software: 

You can download and install the following software:

• Tableau Desktop 

You can also sign up a free Tableau Public account

Hardware: Window and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Data Analyst
• Business Intelligence Analyst
• Data Scientist
• Data Visualization Designer
• Business Analyst
• Product Manager
• Marketing Analyst
• Data Journalist
• Research Scientist
• Project Manager
• Data Consultant
• Strategy Analyst
• Operations Analyst
• Financial Analyst
• Customer Insights Analyst

Quah Chee Yong: Quah Chee Yong is a data analytics and visualization specialist with over 15 years of experience in business intelligence, data modeling, and performance reporting. With a strong background in Tableau, Power BI, and SQL-based data systems, he has led numerous analytics projects across finance, education, and technology sectors. His expertise lies in transforming complex datasets into actionable insights through clear, interactive dashboards and compelling data narratives. Quah’s industry experience, combined with his instructional background, allows him to teach data visualization with a focus on real-world application and strategic storytelling.

In “Data Storytelling with Tableau,” Quah teaches participants how to design effective dashboards that communicate data insights with clarity and impact. His sessions focus on best practices in data visualization, dashboard interactivity, and audience-driven storytelling. By combining technical proficiency with communication strategy, he empowers learners to craft visually engaging and meaningful data stories that influence business decisions and enhance organizational intelligence.

Bernard Peh: Bernard Peh is a data analytics consultant and business intelligence professional with extensive experience in Tableau, Excel, and Power BI. Over his career, he has worked on data-driven transformation projects across finance, logistics, and enterprise operations, focusing on turning raw data into visual insights that drive performance improvement. With a background in software development and data management, Bernard bridges the gap between technical analytics and business storytelling, helping organizations unlock the full value of their data.

In “Data Storytelling with Tableau,” Bernard guides learners through the process of building dynamic dashboards and crafting persuasive narratives from data. His sessions emphasize storytelling techniques, visualization design, and data-driven decision-making using Tableau’s advanced features. Through practical exercises and real-world case studies, he equips participants with the analytical and creative skills needed to communicate insights effectively and make data storytelling a core part of their professional toolkit.

Dr Alvin Ang – Dr Alvin Ang is an ACLP-certified trainer with a Ph.D. in Operations Research from Nanyang Technological University and more than a decade of teaching and industry experience. He has lectured at NTU, SUSS, Curtin University, and as an IBM Data Science Instructor, specializing in statistics, data visualization, and machine learning. He is also the founder of DataFrens.sg, an open-source community that promotes practical applications of data science in Singapore.

In his Tableau training, Dr Ang emphasizes transforming raw data into compelling stories that drive decision-making. His sessions cover data preparation, visualization best practices, and dashboard design principles that highlight insights effectively. By combining academic rigor with real-world case studies, he ensures learners not only master Tableau’s features but also gain the storytelling skills needed to communicate data with impact.

Terence Ee – Terence Ee is an independent consultant and ACLP-certified trainer with over 25 years of experience in IT management, enterprise systems, and digital transformation. He has served in leadership roles such as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he implemented large-scale IT and data-driven projects. Holding a B.Sc. in Computer Science from NUS and an M.Sc. in Technology Management from Staffordshire University, Terence brings both executive insights and technical depth to his training.

In his Tableau-focused courses, Terence equips learners with practical skills to visualize and communicate business insights effectively. He emphasizes real-world applications of Tableau, guiding participants through dashboard creation, KPI tracking, and visual storytelling techniques. By blending strategic leadership experience with technical expertise, he ensures participants can use Tableau not just as a visualization tool but as a driver of informed business decisions.

Dwight Nuwan Fonseka – Dwight Nuwan Fonseka is an ACLP-certified trainer and Head of Data Science at Plano Pte. Ltd., where he leads projects in predictive modeling, machine learning, and data analytics. He also lectures at the London School of Business and Finance, coordinating the Diploma in Data Analytics, and serves as an associate trainer with Tertiary Courses. His expertise spans Python, R, Tableau, and statistical modeling, applied to domains such as healthcare, finance, and operations.

In his Tableau training, Dwight emphasizes project-based, hands-on learning. He teaches learners how to connect data, create visualizations, and design interactive dashboards that tell persuasive stories. By integrating real-world datasets and applied exercises, he ensures participants develop both technical proficiency and the communication skills required to make data-driven storytelling a powerful tool in their organizations.