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Tableau Certified Desktop Specialist Training

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

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.

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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.

Tableau Certified Desktop Specialist Training

Course Code: C181

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The Tableau Desktop Specialist Exam Prep course empowers participants to confidently navigate Tableau's powerful data connection, analysis, and sharing capabilities. This comprehensive training covers essential skills, from creating and managing live connections and extracts to effectively preparing and connecting data from multiple sources. Master key data preparation techniques, including data modeling, joins, and relationships, and learn to optimize data fields and manage properties for effective analysis.

Building on these foundations, the course guides you through creating impactful data visualizations, including bar charts, scatterplots, density maps, and advanced visual analytics. Participants also learn to develop interactive dashboards and configure visualizations for a polished, professional presentation. Gain expertise in sharing insights across platforms and formats, from workbooks to PowerPoint exports, while thoroughly preparing for Tableau's certification. Take the next step in advancing your data skills with this targeted,

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 →

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Tableau Certified Desktop Specialist Training

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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

This course prepares you for the Tableau certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Domain 1: Connecting to & Preparing Data (25%)

Create live connections and extracts; explain live vs. extract tradeoffs
Create a data source that uses multiple connections; save metadata properties in a .TDS
Create and manage the data model: add relationships, joins, and unions; explain join vs. relationship
Rename data fields and assign aliases to data values
Assign geographic roles to data fields; change data type (number, date, string, Boolean, etc.)
Change default field properties (number format, aggregation, color, date format, etc.)

Domain 2 Domain 2: Exploring & Analyzing Data (35%)

Create basic charts: bar, line, scatterplot, geographic map, combined axis, dual axis, stacked bar, density map, crosstab/highlight table
Organize data with groups and sets (via marks, headers, and the data pane); build dimension hierarchies
Add filters to a view, including date filters
Apply worksheet analytics: manual/computed sorts, reference lines, quick table calculations, bins and histograms
Create calculated fields (string, date, simple arithmetic) and know when to use a parameter
Display totals on a worksheet

Domain 3 Domain 3: Sharing Insights (25%)

Format views for presentation: mark colors, fonts, mark shapes, viz animations, mark sizing, legend show/hide
Create and modify dashboards: add worksheets, configure layout and device-specific dashboards
Add interactive elements for consumers (show filters, data highlighter, tooltips) and dashboard actions (filter, highlight, parameter control, URL action)
Create a story and story points
Share a workbook (e.g., .twbx as PDF or image, publish to Tableau Server)
View/export underlying data and export to Microsoft PowerPoint

Domain 4 Domain 4: Understanding Tableau Concepts (15%)

Explain what kind of information dimensions vs. measures usually contain, and the difference between them
Explain how discrete vs. continuous fields are displayed
Explain the difference between discrete date parts and continuous date values
Explain the default aggregation for measures
Describe how an aggregated measure changes when dimensions are added to a view

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.

Basic HTML
Basic CSS;

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Download and install XAMPP https://www.apachefriends.org/index.html

Hardware: Window or Mac Laptops

Job Roles

Data Analyst
Tableau Developer
Business Intelligence Analyst
Data Visualization Specialist
Operations Analyst
Tableau Consultant
Business Analyst
Marketing Data Analyst
Financial Analyst
Reporting Analyst
Customer Insights Analyst
Research Data Analyst
Healthcare Data Analyst
Product Data Analyst
Sales Analyst
Data Science Intern
Tableau Dashboard Developer
Data Quality Analyst
Market Research Analyst
Supply Chain Analyst

Trainers

Dr. Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

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.