From Data to Visualisation

Programme Code D118
General Digital Literary
Data Science & AI
Learning Partner(s)
Nanyang Polytechnic
3 Days
Format In-person
Data Visualisation & Communication Visual Analytics Principles Statistical Techniques Scripting Machine Learning Exploration Analysis Data Storytelling Data Science Data Quality Data Collection Charts & Dashboards
Job Roles
Public Service Officer (non-ICT&SS)


Preparing data is the most time consuming but most important part of an analytics project. Data visualisation provides a powerful way to communicate data-driven insights and discover patterns to detect anomalies. Through this programme, you will develop competencies in transforming raw data into appropriate format for building interactive and effective visualisations that address diverse needs and expectations of the key stakeholders.  You will also be able to perform data exploratory analysis to discover patterns and trends.

Key Takeaways

At the end of this programme, you will be able to:

  • perform data pre-processing techniques to impute data format, transform, reshape and protect the data in accordance with the business requirements and data protection principles
  • develop interactive and effective visualisations with a global perspective to address international and cultural differences, diverse needs and expectations of the key stakeholders using visualisation tools
  • perform data exploratory analysis to identify underlying data patterns, trends and analytical insights using visualisation tools

Who Should Attend

  • Please refer to the job roles section.
  • Public Service Officers who are interested in understanding what data analytics and data visualisation are.

Programme Structure

This programme is delivered face-to-face and will cover the following topics:

  • Introduction to Business Analytics
  • Descriptive Analytics
  • Data Preparation Techniques
  • Basic Visualisation Techniques
  • Visualising Data
  • Create data-driven story



Full Fee

Full programme fee


8% GST on nett programme fee


Total nett programme fee payable, including GST S$702

 With effect from 1 Jan 2023 till 31 Dec 2023

Funding is available for this programme. Please email to Aloysius or Angeline to find out about the updated programme fee funding breakdown and eligibility.

Upcoming Classes

Class 1
06 Sep 2023 to 08 Sep 2023 (Full Time)
Duration: 3 days
When: Sep - 06, 07, 08
Time : 9:00 AM to 5:00 PM
Class 2
06 Mar 2024 to 08 Mar 2024 (Full Time)
Duration: 3 days
When: Mar - 06, 07, 08
Time : 9:00 AM to 5:00 PM

How To Register


Step 1 Apply through your organisation's training request system.

Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

Your organisation will send registration information to the academy.

Organisation HR L&D or equivalent staff can click here for details of the registration submission process.

Step 3 GovTech Digital Academy will inform you whether you have been successful in enrolment.