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WSQ - Tableau Certified Desktop Specialist Training

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

TSC Title: Data Analytics
TSC Code: ATP-PIN-2001-1.1

Funding for this course is valid from 25 Feb 2025 to 24 Feb 2027. Register and complete the course within this period to qualify for funding support.

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.

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
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 - Tableau Certified Desktop Specialist Training

Course Code: TGS-2025053175

WSQ
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES

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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

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Full Fee $900.00 Before GST

GST $81.00 9% of fee

Baseline Nett $531.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $351.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

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.

Submit UTAP Claim

PSEA

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

Check PSEA Eligibility

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, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
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

Written Exam
Practical Exam

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 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 is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

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.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

is a results-driven data scientist and financial services professional with over two decades of experience in data analytics, visualization, and business intelligence. As a Senior Partner and Lead Data Scientist at Big Data Venture Capital, he has led consulting projects, curriculum development, and training operations for blue-chip firms, equipping professionals with practical skills in Microsoft Power BI, Python, and advanced data analytics. His expertise in data acquisition, cleaning, feature engineering, ETL, and visualization ensures that organizations can harness Power BI to transform raw data into actionable insights for strategic decision-making. In addition to his industry leadership, Mr. Peh is a certified adult educator with the WSQ Advanced Certificate in Learning and Performance (ACLP) and has delivered numerous Power BI and data science courses through NTUC LearningHub and other training providers. His ability to merge technical expertise with pedagogy has made him a trusted trainer, empowering professionals to build interactive dashboards, automate reporting workflows, and adopt data-driven cultures. With a unique blend of hands-on technical mastery and proven teaching experience, Mr. Peh has established himself as a credible authority in Power BI and business intelligence solutions