dsai

Data Storytelling

Enquiry
Programme Code D147A
Domain
Data Science & AI
General Digital Literacy
Level
Foundation
Learning Partner(s)
NUS-ISS
Duration
3 Days
Format In-person
Rating
Competencies
Data Storytelling
Job Roles
Chief Data Officer Data Engineer ICT&SS Professional Public Service Officer (non-ICT&SS) Quantitative Analyst

Overview

Refine your data storytelling skills for impactful communication in the corporate environment. Data Storytelling has become an extremely important skill in today's corporate environment. It is effective way to share organisation information and drive outcomes. The rate that businesses collect data today is phenomenal. Therefore, data storytelling is important for professionals to communicate findings, tailored to a specific audience, with a compelling narrative.

The programme equips you with essential skills to draw insights from data, deploy story boards and present their insights using the most effective visual representations. Skills learnt in this programme would help place the organisation on the path towards data driven decision making.

Our instructors who possess a wealth of industry experience will use real life examples and hands on workshops to help you apply descriptive and diagnostic techniques, select appropriate charts and graphs, create powerful presentations; design productive dashboards and create viral infographics.

Key Takeaways

At the end of this programme, you will be able to:
  • Apply various types of data-related questions and analytics patterns to extract meaningful insights
  • Apply exploratory, descriptive and diagnostic analysis to uncover patterns
  • Deconstruct principles of effective data visualisation
  • Learn the art of designing dashboards for achieving business outcomes
  • Utilise storytelling framework and GenAI tools to create narratives that effectively present the data story

Who Should Attend

  • Please refer to the job roles section.
  • Please note that this is NOT a substitute for a tool training programme. However, we may use Excel, Tableau or Power BI in the programme to illustrate the application for the best practices in data visualisation and data storytelling.

Prerequisites

  • Basic Excel and PowerPoint skills are assumed.
  • If you have limited knowledge of the above, you may consider acquiring them via GCF Learn for Excel PowerPoint.

What To Bring

You must bring your internet-enabled computing devices (laptops, tablet etc) with power chargers to access and download programme materials. No printed copies of programme materials are issued. Please refer to the full tech specifications here.

Programme Structure

This programme will cover the following topics:

Day 1: Fundamentals of Data Storytelling and Visualisation Principles

  • Introduction to core elements: data, visual, and narrative
  • Data types and appropriate visualisation charts
  • Best practices for creating effective charts to engage with audience effectively

Day 2: Dashboarding Principles and Hands-on Practice

  • Dashboarding concepts and best practices
  • Hands-on practice for data visualisation and dashboard creation to construct a compelling story (Tool used: Tableau or Power BI, based on your registration choice)

Day 3: Data Storytelling Frameworks

  • Exploration of various data storytelling frameworks
  • Creation and presentation of compelling stories
  • Enhancement of data stories using GenAI tools

Fees


Full Fee

Full programme fee

S$2850

9% GST on nett programme fee

S$256.50

Total nett programme fee payable, including GSTS$3106.50

 

Please register accordingly to the platform that you will be using during the programme.

  • 11 to 13 Jun 2025 (Run with Tableau)
  • 17 to 19 Sep 2025 (Run with Power BI)
  • 1 to 3 Dec 2025 (Run with Tableau)
  • 16 to 18 Mar 2026 (Run with Power BI)

NOTE
Funding is available for this programme. Please visit the  Learning Partner’s website to find out about the updated programme fee funding breakdown and eligibility.

Payment for this programme is to NUS-ISS, National University of Singapore.

Upcoming Classes

Class 1
24 Mar 2025 to 26 Mar 2025 (Full Time)
Duration: 3 days
When:
Time : 9:00am - 5:30pm
Class 2
11 Jun 2025 to 13 Jun 2025 (Full Time)
Duration: 3 days
When: Jun - 11, 12, 13
Time : 9:00am - 5:30pm (Tableau)
Class 3
17 Sep 2025 to 19 Sep 2025 (Full Time)
Duration: 3 days
When: Sep - 17, 18, 19
Time : 9:00am - 5:30pm (Power BI)
Class 4
01 Dec 2025 to 03 Dec 2025 (Full Time)
Duration: 3 days
When: Dec - 01, 02, 03
Time : 9:00am - 5:30pm (Tableau)
Class 5
16 Mar 2026 to 18 Mar 2026 (Full Time)
Duration: 3 days
When: Mar - 16, 17, 18
Time : 9:00am - 5:30pm (Power BI)

Agency-sponsored

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's HR L&D or equivalent staff can click here to register through Learning Partner's registration portal.

The HR L&D will need to generate a URL link and send it to the participant to register for the programme under Corporate-Sponsored. The participant must first log in to L3AP using Singpass before clicking on the URL link to complete their registration and declaration. Failure to do so will result in registration under Self-Sponsored.

Please refer to NUS Lifelong Learning Portal (L3AP) guide here. Alternatively, please contact ask-iss@nus.edu.sg.


Step 3 The Learning Partner will inform you whether you have been successful in enrolment.


Testimonials

Learning about the best practices in performing data visualisation & data storytelling was useful for me.

,

I now have a deeper understanding of the appropriate uses of different types of data, visuals and infographics to suit different types of audiences. 

,

I learnt about the basic principles of data storytelling and creating infographics.

,

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