WSQ - Tableau Certified Data Analyst Training

Topic 1: Connect to and Transform Data

• Connect to data sources
• Prepare data for analysis
• Perform data transformation in Tableau Prep
• Customize fields

Topic 2: Explore and Analyze Data

• Create calculated fields
• Create table calculations
• Create and use filters
• Create parameters to enable interactivity
• Structure the data
• Map data geographically
• Summarize, model, and customize data by using the Analytics pane
• Create Level of Detail (LOD) calculations

Topic 3: Create Content

• Create charts
• Create dashboards and stories
• Add interactivity to dashboards
• Format workbooks, worksheets, and dashboards

Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud

• Publish Content
• Schedule data updates
• Manage published workbooks

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• 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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

• OpenFOAM Windows 10

Hardware: Windows and Mac Laptops

• Data Analyst
• Business Intelligence Analyst
• Tableau Developer
• Tableau Administrator
• Data Visualization Specialist
• Data Scientist
• Business Analyst
• Reporting Analyst
• Dashboard Designer
• Tableau Consultant
• Marketing Analyst
• Financial Analyst
• Operations Analyst
• IT Analyst
• Product Analyst
• Market Research Analyst
• CRM Analyst
• Supply Chain Analyst
• Performance Analyst
• Data Engineer

Dr. Alvin Ang: Dr. Alvin Ang is a data scientist and AI trainer with deep expertise in quantitative methods, statistics, and applied artificial intelligence. At Tertiary Infotech, he has designed and delivered training in data analytics, visualization, and AI applications, equipping learners with the ability to translate raw data into actionable insights. His professional background includes research and teaching in operations research and advanced analytics, further strengthened by certifications in Python, R, and deep learning.

As a WSQ-accredited trainer, Dr. Ang specializes in courses such as Tableau, data analytics, and AI-driven business insights, blending academic rigor with practical application. His teaching emphasizes problem-solving, data storytelling, and best practices in visualization, ensuring learners can apply their skills effectively in organizational settings. By combining strong technical expertise with a learner-centered approach, he helps participants gain both confidence and competence in data-driven decision-making.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with extensive expertise in machine learning, predictive modeling, and R programming. He has applied advanced analytics to sectors including healthcare, finance, and customer analytics, using tools such as TensorFlow, Keras, H2O.ai, and RShiny. Dwight also serves as an adjunct lecturer at LSBF and a trainer with Tertiary Infotech, where he delivers specialized programs in R Data Mining, Shiny App Development, and Deep Learning.

His teaching emphasizes applied learning through hands-on labs, case studies, and real-world datasets, ensuring learners can directly implement concepts in their workplace. With his strong background in both technical development and industry applications, Dwight prepares participants to master data mining, modeling, and visualization skills that are critical for modern organizations adopting data science and AI.

Terence Ee: Terence Ee is an experienced CIO and IT leader with more than 25 years of expertise in technology management, information systems, and enterprise IT leadership. He has held senior positions including Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he successfully led large-scale digital transformation initiatives. Since 2017, he has been an independent consultant and ACLP-certified trainer, guiding SMEs and enterprises through the adoption of digital collaboration platforms and IT governance frameworks.

As a WSQ trainer, Terence focuses on digital adoption, IT governance, and business transformation, enabling participants to acquire future-ready skills. His sessions emphasize practical case studies and scenario-based exercises, helping learners apply digital tools such as Google Workspace, Microsoft 365, and collaborative IT systems in their workplace. By combining strategic leadership experience with technical knowledge, he ensures participants are equipped to thrive in today’s digital economy.

Quah Chee Yong: Quah Chee Yong is a seasoned data analytics and visualization specialist with over 20 years of experience in business intelligence, data strategy, and technical training. A WSQ-certified ACLP trainer, he has delivered national-level analytics programs under initiatives such as the SGUnited Mid-Career Pathways Programme, working with organizations including SAP, Temasek Polytechnic, and IMDA. His technical expertise spans Python, SQL, Tableau, and Google Cloud, complemented by hands-on experience in AI, machine learning, and natural language processing. Quah’s professional background bridges both corporate analytics and adult education, enabling him to translate complex technical concepts into practical, business-relevant learning.

In the Tableau Certified Data Analyst Training course, Quah focuses on helping learners master the principles of data visualization and storytelling for effective decision-making. His sessions emphasize the end-to-end analytics process — from data preparation and dashboard design to interpreting and communicating insights. Learners benefit from his structured, project-based approach that mirrors real-world analytics workflows, equipping them to transform raw data into meaningful, strategic intelligence using Tableau.

Bernard Peh: Bernard Peh is a senior data scientist, investment strategist, and professional educator with over 25 years of experience in analytics, financial management, and data-driven business consulting. He is an ACLP-certified trainer who has conducted data analytics and visualization programs for major training providers such as NTUC LearningHub, Aventis Learning, and BELLS Institute. Bernard’s professional expertise lies at the intersection of data analytics and financial strategy, having worked on projects involving predictive modelling, financial forecasting, and AI-assisted investment analysis. He currently serves as a Senior Partner at a data-driven investment firm, where he applies advanced analytics to guide strategic decision-making.

In this course, Bernard combines his deep knowledge of data science and business intelligence to help participants develop proficiency in Tableau for real-world analysis and reporting. His training approach emphasizes clarity, precision, and application — enabling learners to create insightful, interactive dashboards and apply analytical reasoning to solve complex business problems. Through his practical teaching style, participants gain both technical mastery and the analytical mindset required for data-informed decision-making in modern organizations