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[NP-SDA1-12] Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1)

Offered by School of InfoComm Technology

Specialist Diploma

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Apply Register Interest
Area of interest
Data Analytics, Technology

Course Schedule

  1. Registration Period 01 Dec 2025 - 28 Feb 2026
  2. Course Date 20 Apr 2026 - 30 Sep 2026
  3. Venue NGEE ANN POLYTECHNIC
  4. Schedule Info Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Classes Day: Every Mon or Thurs
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning

Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.

About Course

Course Objectives

This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.

Course Description

Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) is a 75hrs module. In this module, you will:
1. Understand the Principles of Effective Visualisation
2. Gain hands-on experience with popular tools used for creating visualisations.
3. Apply these tools to develop rich visualisations for both analysis and presentation.
4. Learn techniques to extract and grasp pertinent information from data.
5. Apply exploratory techniques to derive key insights from your data.
6. Understand best practices for data storytelling and creating information graphics.
7. Learn how to present data effectively and eloquently to various audiences.

Course Structure

TPG course reference No.

TGS-2023040954

Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1)
Data Visualisation and Story Telling (NP-012791)
This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.

Entry Requirements

Condition 1

Highest qualification

Local Polytechnic Diploma in any discipline.
or

Condition 2

Highest qualification

Recognised Bachelor's Degree in any discipline. 
or

Condition 3

Working experience

At least 1 year of relevant work experience.
  • You are required to have working knowledge of Microsoft Office e.g. Word, Excel and PowerPoint. Learners enrolled into the course are expected to bring along their personal laptop.

Required Specifications for Laptop Computers
•   Processor: Intel Core i7 or AMD Ryzen 7 Series
•   RAM: 16 GB (32 GB recommended)
•   Storage Device: 1 TB Solid State Drive (SSD) or above
•   Operating System: Microsoft Windows 11
•   Communication platform: Microsoft TEAMS (mandatory to have this tool installed in the laptop)

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) Total course fee
Full Course fee $2,754.98 $2,754.98
Singapore Citizen Aged 40 & Above $220.73 $220.73
PR Sponsored by SME $230.18 $230.18
Singapore Citizen Sponsored by SME $230.18 $230.18
Singapore Citizen Aged Below 40 $335.18 $335.18
Long-Term Visit Pass Plus $2,754.98 $2,754.98
Singapore PR $2,754.98 $2,754.98

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.

Nett Supplementary Fees Payable

  • GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Remarks

Company Sponsorship

If your employer is sponsoring your course fee, please refer to this guide to link your company's Corppass to the STEP Corppass e-Service first. Your company will need to generate sponsorship link for you to register for the course.

For more details, please refer to the step-by-step guide to enrol, track and manage employee's learning activities and other services.