Singapore University of Social Sciences

Visualisation for Decision Making

Visualisation for Decision Making (CET104)

Applications Open: 12 December 2019

Applications Close: 12 June 2020

Next Available Intake: 26 June 2020

Course Types: Short Course, SkillsFuture Series

Language: English

Duration: 1 day

Fees: $650

Area of Interest: Business Administration

Schemes: Lifelong Learning Credit (L2C)

Funding: SkillsFuture

School/Department: Centre for Continuing & Professional Education

Next Available Intakes: 26 June and 2 October 2020
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

Miss Jess Tan is currently Senior Faculty and Lecturer in the School of Business Unit 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 Y2V0QHN1c3MuZWR1LnNn:

  1. Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
  2. Recent payslip or income statement (For WTS scheme only)
  3. Application form

Course Fee

CategoriesFull Course Fee without GST
SSG Funding without GST
Nett Course Fee after SSG funding
(A) - (B) = (C)
GST based on Nett fee
Nett Fee payable after GST
(C) + (D) = (E)
Additional Funding subjected to eligibility
Final payable nett amount
(E) - (F) = (G)
Singapore Citizens*All aged 35 and above and earning $2000 or less per month1 $650.00$455.00$195.00 $13.65 $208.65$162.50$46.15
Sponsored by SME2$130.00$78.65
Self-Sponsored or sponsored by Non-SME aged 40 and above3$130.00$78.65
Self-Sponsored or sponsored by NonSME aged from 21 to 39NA$208.65
PRs*Self-Sponsored or sponsored by Non-SME aged 21 and above$208.65
Sponsored by SME2$130.00$78.65

* Participants are required to achieve at least 75% attendance and/or sit and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.

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