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Tableau Masterclass

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • 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.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • 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 Masterclass

Course Code: C469

356 Review(s) | Add Your Review

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What's This Course About

Tableau Masterclass teaches you how to turn data into clear, interactive visual stories with Tableau, one of the world's leading data visualisation and business intelligence tools. Tableau lets you connect to almost any data source, explore it visually and share dashboards that help decision-makers see what matters at a glance. The masterclass is designed for analysts, managers, business users and anyone who works with data and wants to communicate insights more effectively.

You will start with basic Tableau features, connecting to data, understanding dimensions and measures, and building your first charts with drag-and-drop. Next you will cover data visualisation, creating bar, line, scatter, map and other chart types and applying best practices for colour, labels and layout. You will then learn data transformation in Tableau, including joins, relationships, unions, pivots, groups, sets and hierarchies, so your data is structured correctly for analysis.

The course continues with dashboards and stories, combining views into interactive dashboards with filters and actions, and building story points that guide your audience through your findings. You will also master calculations and parameters, including calculated fields, table calculations, level of detail expressions and what-if analysis, and finish with analytics features such as trend lines, forecasts and clustering. Every topic is hands-on. By the end, you will be able to design compelling, insightful dashboards in Tableau.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.

Funding Options

No funding is available for this course.

For WSQ funding, please check out the details at WSQ - Data Visualisation with Tableau

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

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

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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1: Basic Tableau Features

Topic 2: Data Visualisation

Topic 3: Data Transformation

Topic 4: Dashboard and Story

Topic 5: Calculation & Parameter

Topic 6: Analytics

Course Info

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 will need the following for this course:

Hardware: Windows PC or Mac laptop

Job Roles

Job Roles

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Data Visualization Designer
  • Business Analyst
  • Product Manager
  • Marketing Analyst
  • Data Journalist
  • Research Scientist
  • Project Manager
  • Data Consultant
  • Strategy Analyst
  • Operations Analyst
  • Financial Analyst
  • Customer Insights Analyst

Trainers

Trainers

Dr. Alvin Ang is a data scientist and data science educator with a PhD in Operations Research, an MSc in Logistics and a BEng in Mechatronics, Robotics and Automation Engineering, all from Nanyang Technological University. Operations research is the mathematics of better decisions, and his published work on Kanban production-control systems at IEEE conferences reflects the quantitative rigour he brings to every class. He has served as an IBM Data Science Instructor, a Research Fellow at NUS, a Principal Consultant in data science and an Assistant Professor of Mathematics at SP Jain School of Global Management, where he was named Mathematics Professor of the Year, and he lectured undergraduates in statistics and quantitative methods at SUSS. Since 2021 he has trained professionals at Tertiary Infotech in Python, R, SQL, statistics, Excel analytics, Tableau, Power BI, Apache Spark, machine learning and deep learning, and he founded DataFrens.sg, a community for data scientists in Singapore. An ACLP-certified adult educator, he is known for connecting technical concepts to practical, real-world applications, a strength echoed in hundreds of learner recommendations.

In Tableau Masterclass, Dr. Ang guides learners from connecting data to publishing dashboards that tell a clear story. They build effective charts, use calculations, parameters and analytics features, and design dashboards and stories for their audience. As a data scientist who teaches visual analytics alongside statistics, he stresses choosing the right visual and avoiding misleading charts, so learners communicate insights with confidence.

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.
Wayne Lim is a ACTA trainer. An Agile practitioner and Scrum Master, part of a start-up in the Maritime sector, and involved in family’s’ food and beverage business. Wayne graduated from RMIT University with a bachelor’s in construction management. Having 11 years in project management experience in the construction and marine sectors. Lectured in tertiary institutions in topics like management, marketing, engineering, mathematics, and customer service. His current interest includes R and Python programming languages, DevOps, and Agile methodologies.  

Review

Customer Reviews (356)

Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The classroom condition (Posted on 5/27/2019)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
One of the seats was directly under the centralized air-condition, perhaps the seat could be used as a spare as the room is pretty old, there might be tiny microscopic dust particles let out though the vent. :)

This was a really intense course. Trainer Dwight was patient and knowledgeable in subject, well-prepared. Training location was convenient for me (coming from Boon Lay) but might be a bit out-of-the-way for others. There was enough extension power for all participants. I enjoyed the light refreshment that was provided. (Posted on 5/25/2019)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A proper and detail documentation of training materials will be necessary so that learners could refer to it to complete the exercises instead of relying only to the instructor. (Posted on 5/14/2019)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Trainer well very fast because there were too much material to cover.

The space used was too crammed and airy on too cold (Posted on 4/26/2019)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 4/18/2019)

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