Singapore University of Social Sciences

Visualisation for Decision Making

Visualisation for Decision Making (CET104)

Applications Open: 27 October 2023

Applications Close: 19 April 2024

Next Available Intake: 03 May 2024

Course Types: Short Course, SkillsFuture Series

Language: English

Duration: 1 day

Fees: $650

Area of Interest: Business Administration

Schemes: To be confirmed

Funding: SkillsFuture

School/Department: Centre for Continuing & Professional Education

Next Available Intakes: 03 May and 16 August 2024
Venue: Singapore University of Social Sciences

There is a growing demand to understand the meaning within mountains of collected data. The bottleneck in understanding all this data is the scarcity of experts such as data scientists and statisticians, who can use this data to glean meaningful insights. Thanks to data visualisation tools that bridge this gap and make analysis more digestible, leaders are able to make better informed decisions.

How can data visualisation help empower good decision making? This course discusses the use of data visualisation in decision making. Topics include visualisation for various data types, how to create charts using Tableau, dashboard design principles, introduction to various types of dashboards, and how to create a dashboard using Tableau.


A. Knowledge and Understanding (Theory Component)

By the end of this course, participants should be able to:

  • Discuss the concepts of Business Performance Measurement, Strategic Business Management Performance Framework and Data Visualisation
  • Compare various stages of Data Visualisation process
  • Illustrate the dashboard design principles
  • Evaluate the appropriateness of Data Visualization techniques based on given
  • Discuss the benefits of Data Visualisation

B. Key Skills (Practical Component)

By the end of this course, participants should be able to:

  • Use appropriate Data Visualisation techniques based on given data
  • Develop Business Performance Dashboard using Data Visualisation software
  • Implement actions to create advanced dashboard navigation


09:00 Course Overview
09:15Overview of Data Visualisation
10:45Data Visualisation Techniques
13:30 Introduction to Business Performance Dashboard
14:30Hands-on with Tableau
15:45 Hands-on with Tableau (Group Work)
17:00Assessment (MCQs)



  • You need to bring along your own laptop.
  • You should have Tableau software installed and activated on your own laptop.

About the Trainer

Dr Jess Tan is currently Senior Faculty and Lecturer in the School of Business at the Singapore University of Social Sciences. She has more than fifteen years of experience in data analysis and data mining. She had previously worked in the private and public sectors, leading and spearheading several analytics initiatives. Her main research and teaching interests are in applications of data mining and learning analytics.

Application Procedures

Please submit the following documents to

  1. Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
  2. Application form

Course Fee

Course Fee for $650

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees. 

  • Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • Participants are required to complete all surveys and feedbacks related to the course.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
  • Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

For clarification, please contact the Centre for Continuing and Professional Education (CCPE) via the following:

Telephone: +65 6248 0263
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