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WSQ - Tableau Certified Desktop Specialist Training

WSQ - Tableau Certified Desktop Specialist Training

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Develop essential Tableau Desktop skills in this WSQ-certified Tableau Desktop Specialist Training course. Learn to connect to diverse data sources, prepare and organize data, and create effective visualizations that meet analytical and business requirements. By mastering Tableau’s data preparation tools, filtering techniques, and database queries, participants will uncover valuable insights while maintaining data quality standards.

Explore key Tableau concepts such as dimensions, measures, and data aggregations. Gain hands-on experience in creating charts, dashboards, and applying analytics to drive meaningful results. This course also covers best practices for sharing insights by formatting, presenting, and collaborating on dashboard

Learning Outcomes

By end of the course, learners should be able to:

LO1: Identify data sources in Tableau Desktop to meet analysis requirements and data quality standards.
LO2: Organize data into effective visual elements using Tableau Desktop
LO3: Perform database queries to extract and process data sets using Tableau Desktop.
LO4: Process data using standard procedures in Tableau Desktop to deliver meaningful insights.

Course Brochure

Download WSQ - Tableau Certified Desktop Specialist Training Brochure

Skills Framework

This course follows the guideline of Data Analytics ATP-PIN-2001-1.1 under Air Transport Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$900.00	$81.00	$531.00	$351.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025053175)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Course Code: TGS-2025053175

Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1: Connecting to and Preparing Data

Create live connections and extracts
Create and manage the data model
Manage data properties

Topic 2: Exploring and Analyzing Data

Create basic charts
Organize data and apply filters
Apply analytics to a worksheet

Topic 3: Sharing Insights

Format view for presentation
Create and modify a dashboard
View and share workbook data

Topic 4: Tableau Concepts

Dimensions and measures
Discrete and continuous fields
Data aggregations

Final Assessment

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

Course Info

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

Job Roles

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

Trainers

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