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WSQ - Tableau Data Preparation and Analysis

Sessions 3 days
Duration 24 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-4001-1.1

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: Review extracted datasets to ensure alignment with planning parameters using Tableau Desktop.
LO2: Configure data models using Tableau Desktop to deliver actionable business insights.
LO3: Design pattern discovery processes and develop predictive dashboards to visualize analytics outputs effectively using Tableau Desktop.
LO4: Communicate data insights clearly and effectively to stakeholders using best practices in data storytelling.

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 Data Preparation and Analysis

Course Code: TGS-2025053206

WSQ
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES

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This Tableau Data Preparation and Analysis course equips learners with practical skills to prepare, analyse, visualise, and interpret data using Tableau. The course covers the complete data analysis workflow, from connecting to different data sources and preparing datasets to performing analysis and presenting meaningful insights through interactive visualisations and dashboards.

Learners will develop skills in cleaning, transforming, combining, and organising data to improve data quality and readiness for analysis. They will explore Tableau features for filtering, sorting, grouping, calculations, parameters, and data relationships, while applying appropriate analytical techniques to identify trends, patterns, relationships, and performance indicators.

Through hands-on exercises and practical business scenarios, participants will create effective charts, dashboards, and interactive reports that communicate insights clearly to stakeholders. The course also introduces good practices in data visualisation, dashboard design, and analytical storytelling to support evidence-based decision-making.

By the end of the course, learners will be able to use Tableau confidently to prepare data, conduct exploratory and business analysis, develop meaningful visualisations, and communicate data-driven insights for organisational decision-making.

Full Fee $1,500.00 Before GST

GST $135.00 9% of fee

Baseline Nett $885.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $585.00 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: Data Extraction, Preparation and Validation with Tableau Desktop

Topic 2: Data Modelling and Business Analysis with Tableau Desktop

Topic 3: Pattern Discovery, Predictive Analytics and Dashboard Design

Topic 4: Data Storytelling and Communicating Business Insights

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:

Tableau Desktop (free trial)

Hardware: Windows and Mac Laptops

Job Roles

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

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 IT leader and consultant with more than 25 years of expertise in technology management, information systems, and digital transformation. He has served as Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led major IT modernization projects. Since 2017, he has worked as an independent consultant and ACLP-certified trainer, specializing in guiding SMEs and enterprises in adopting future-ready digital platforms. As a WSQ-accredited trainer, Terence delivers programs in digital collaboration, IT governance, and productivity tools. His facilitation emphasizes case studies, simulations, and hands-on practice, enabling learners to apply modern IT systems such as Microsoft 365 and Google Workspace to improve collaboration and business efficiency. With his leadership background and deep IT expertise, Terence prepares learners to thrive in digitally transforming environments.

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