Overview

Part of -
Enquiry Please email to iss-blendedlearning@nus.edu.sg

Upcoming Classes

Live Session:
● Live Online Session 1: Fri 23 May 2025, 4pm – 5pm*
● Live Online Session 2: Fri 30 May 2025, 4pm – 5pm*
● Live Online Session 3: Thu 5 Jun 2025, 4pm – 5pm*

*All sessions are in Singapore Time (GMT+8). 

Live Session:
● Live Online Session 1: Fri 25 Jul 2025, 4pm – 5pm*
● Live Online Session 2: Fri 1 Aug 2025, 4pm – 5pm*
● Live Online Session 3: Fri 8 Aug 2025, 4pm – 5pm*

*All sessions are in Singapore Time (GMT+8). 

Live Session:
● Live Online Session 1: Fri 17 Oct 2025, 4pm – 5pm* 
● Live Online Session 2: Fri 24 Oct 2025, 4pm – 5pm*
● Live Online Session 3: Fri 31 Oct 2025, 4pm – 5pm*

*All sessions are in Singapore Time (GMT+8). 

Live Session:
● Live Online Session 1: Thu 2 Apr 2026, 4pm – 5pm*
● Live Online Session 2: Fri 10 Apr 2026, 4pm – 5pm*
● Live Online Session 3: Fri 17 Apr 2026, 4pm – 5pm*

*All sessions are in Singapore Time (GMT+8). 



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 course equips participants 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 course 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 participants 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 the course, learners will be able to:

●  Apply the principles of data visualisation.

● Present data led insights in a storyboard format. 

● Design effective dashboards for good decisioning.

● Develop infographics as a data storytelling mechanism for broad communication.

Structure

●  Course duration: 4.5 weeks online.

●  Learners' time commitment: 3 to 4 hours per week. 

●  This course has 3 live online sessions for group activities, discussions, feedback and interactions. 

●  Throughout the course, learners are expected to actively contribute to the group activities and online discussions, and are encouraged to apply the knowledge learnt.


Who Should Attend

This course is ideal for professionals in Singapore and around the world, as it is conducted entirely online. If you are looking to develop the skills to effectively present insights from data, and wish to acquire fundamental skills in data visualisation and storytelling, we encourage you to register.

Instructors


Fees And Funding

Type of Learners  Course Fee Total course fee payable, including GST
Learners residing in Singapore (SGD) SGD 900 SGD 981
Learners residing outside Singapore (USD) USD 700 USD 700

Things To Note

● The NUS-ISS Certificate of Completion will be issued to learners who have met the course requirements successfully. This will include attending all synchronous Zoom sessions and completing the learning activities, workshops and assessments (where applicable).

● Read the terms and conditions of NUS-ISS Course Registration here.

● Read about NUS-ISS and Learner’s Commitment and Responsibilities here.

● All classes are subject to confirmation and NUS-ISS will send an acceptance email to learners one week prior to the commencement date.

● All responses to feedback and surveys conducted by NUS-ISS and its partners must be submitted by learners.

This course focuses on the concepts of decision-making with data. Learners will learn how to frame business problems, the processes involved in data analytics and how to derive insights and implement the actionable. Learners who complete this course will acquire a solid understanding of the scope of data in an organisational context.