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Data Visualisation Begins With Me

Course Reference No:
TGS-2020501910 (Synchronous e-Learning)

Numbers can only tell so much on paper. As the saying goes, “A picture is worth a thousand words.” The value of analysis is very limited if it cannot be clearly communicated to others through the use of Visualisations. This can lead to missed business opportunities. The 1-day course will cover the analytics process, data cleaning techniques, how to conduct exploratory data analysis within the data and Visualisation techniques that help to “tell THE story” that resides within their data.

Learning Objectives

At the end of the course, participants will be able to:
  • List how visualisation is useful in a variety of settings
  • Apply visualisation to data to understand and analyse it
  • Communicate analysis effectively with data visualisations

Course Outline

This workshop will allow you to gain knowledge to using the tool, Tableau
  • Introduction to Data Visualisation
  • Communicating with Data Visualisations
  • Hands-on session (Tableau Part 1)
  • Hands-on session (Tableau Part 2)
  • Hands-on session (Tableau Part 3)


Experience with using Excel in manipulating data, charting and basic analysis. No programming experience required. Participants are required to bring along their personal internet laptop for the course.

Target Audience

All SingHealth Staff who are keen to use Data Analytics in their course of work   


3 July 2023 class full
2 Oct 2023 class full
9 Apr 2024


9.00am to 5.00pm


Academia, L1-S2 for 9 Apr 2024 Class

Course Fees

International Participants

Singapore Citizen
39 years old or younger

Singapore Citizen
40 years or older eligible for MCES
Singapore PRsEnhanced Training Support for SMEs
​Full Programme Fee​S$850.00​S$850.00​S$850.00​S$850.00​S$850.00
​SkillsFuture Funding (Refer to Funding Page for Claim Period) ​-​(S$595.00)​​(S$595.00)​​(S$595.00)​​(S$595.00)
​Nett Programme Fee​S$850.00​S$255.00S$255.00​S$255.00​​S$255.00
​9% GST on Nett Programme Fee ​S$76.50​S$22.95
Total Nett Programme Fee Payable, Incl. GST​​S$926.50​S$277.95
​Less Additional Funding if Eligible Under Various Scheme-​-​​(S$170.00)​-​(S$170.00)
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes ​​S$926.50​S$277.95


  • NUS School of Continuing and Lifelong Education (SCALE)
  • NUS Faculty of Science
  • SingHealth Health Services Research Centre
  • SingHealth Academy


Dr Benjamin Lee

Dr Lee is a Senior lecturer in Data Analytics and Visualisation with the Faculty of Science at NUS. He has over 30 years’ experience in IT and information management. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas.

He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. In those projects, Dr Lee had applied data analytics to improve resource management and sales profitability with better understanding of customers, products and services. Ben has been teaching information & data management and business analytics classes since 2016. He holds a Doctorate in Business Administration from the University of Western Australia. He also has Masters in Business Research and Physics and a Bachelors in Law. He has a strong interest and passion for data analytics, visualisation and e-business.

Mr Lau Yee How

Lau Yee How is a Senior Biostatistician currently with the department of Singapore Cardiac Data Bank(SCDB) in Singhealth, with a joint appointment of a Senior Research Assistant in DukeNUS. He has been actively involved in running the day-to-day operations, data management, audit and research projects pertaining to Singapore Cardiac Data Bank since 2010, which incorporates data from all the other restructured public health institutions for cardiac procedures (namely electrophysiology, coronary angiography/angioplasty and heart failure). He has a strong interest for data analytics, visualization and interactive reporting.

Ms Lee Annie

Lee Annie is a Research Fellow at National Heart Research Institute Singapore and holds a joint appointment as Adjunct Research Fellow in Duke-NUS. She has a strong interest in data analytics and her research focuses on understanding the drivers and developing models for predicting long-term outcomes in patients who were admitted with AMI and underwent percutaneous coronary intervention. She also provides a variety of statistical support and consulting services for research projects pertaining to Singapore Cardiac Longitudinal Outcome Database (SingCLOUD), which integrates cardiovascular specific data, procedural data, financial and administrative data, short-to-long term clinical outcomes, and quality-of-care indices from  13 participating institutions, including MOH. 


Registration Details

NOTE: Please ensure that you submit the training request form to your respective HR departments for approval before sending in your registration.

Click here to register by 9 March 2024. For enquries, kindly contact

Registration is on a first-come, first-served basis. Successful registrants will be notified via email with more information.

In line with the Singapore Personal Data Protection Act (PDPA), please note that we have updated our SingHealth Data Protection Policy, a copy of which is available at Hard copies are also available on request.