Data Storytelling with Visualisation

Part of the ModularMaster in Data Science (Healthcare) programme

Data Storytelling and Visualization provide a crucial framework for effective communication and insightful interpretation of data. Proficiency in these areas allows data professionals to transform complex datasets into compelling narratives and visually engaging representations. By mastering the art of data storytelling, professionals learn to effectively convey insights, patterns, and trends to various audiences, enabling informed decision-making. Through visualization techniques and tools, they can create intuitive graphics and interactive dashboards that facilitate understanding and exploration of data. Additionally, data professionals develop a deep understanding of design principles to enhance the impact and clarity of their visualisations. In data science, it is important to combine analytical prowess with compelling storytelling to unlock the true potential of data and communicate its value in a meaningful and impactful way.

This course, spanning a duration of five days, is specifically designed to equip participants with data storytelling and visualisation skills in heathcare context. Over the first four days, participants will acquire the ability to identify patterns and trends, as well as deliver improved data presentation through visuals, utilizing various data visualisation tools. By focusing on contextualised healthcare case studies, participants will develop an appreciation for how data visualisation has bolstered decision support within the healthcare field. Participants will be actively involved in a healthcare-related project throughout the module. The final day, which is split into two half-days on separate weeks, will be dedicated to project consultation and project presentation.

Plan your learning path

This course can be taken as a module on its own or as part of the Graduate Certificate in Fundamentals in Data Science (Healthcare) or ModularMaster in Data Science (Healthcare).

Course Details

Course Dates 2024:
May 21, 28, Jun 4, 11, 18, Jul 2


Who Should Attend

Catering to healthcare professionals and individuals aspiring to join the healthcare industry, this course is specifically designed to develop effective communication of information to clinicans and patients. It is highly recommended for clinicians, administrators, and managers in the healthcare field. Clinicians utilise compelling visuals to communicate findings and make a greater impact. Administrators and managers improve outcomes and oversee operations by leveraging data-driven decisions through visual dashboards. 


  • Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.

  • Participants should be conversant with basic IT skills such as software installation, file management and web navigation.

  • Participants are encouraged to complete the Foundation of Data Science course before enrolling in this course.

  • Participants are required to bring their laptops with Windows Operating System installed.

Programme Outline

Learning Objectives and Structure
  • Perform the visualisation component for the role of a junior data scientist or business intelligence role
  • Extract insights visually from exploratory data analysis process
  • Interpret convoluted patterns and meaningful insights with the help of data visualisation tools
  • Visualise data set relevant to the model findings
  • Build presentation-ready dashboards for managers
  • Leverage on the infographic to communicate complex ideas across easily
  • Visually illustrate findings with the aid of data storytelling
  • Understand healthcare case studies shared by SingHealth faculty members to gain insights into real-world scenarios.
  • Utilise curated public healthcare datasets to perform hands-on activities and assignments, fostering practical experience and understanding of the subject matter.
Day 1 - Data storytelling

- Gestalt principles
- Audience assessment
- Narrative development
- Evolution of data visualisation in healthcare

Day 2 – Design and considerations of dashboard, Introduction of tableau

- Dashboard Design and Considerations
- Basic understanding of Tableau and what it does
- Tableau interface, key functionalities, and useful features 
- Application of data visualisation in healthcare
- Key financial analysis and insights for clinical specialty

Day 3 - Creating visualisations with Tableau, Introduction of Power BI
- How to create basic tableau visualizations to answer simple business questions
- How to put together a tableau dashboard from the basic visualisations 
- Data driving improvement and towards clinical excellence
- Basic understanding of PowerBI and what it does
- PowerBI interface, key functionalities, and some useful features 
Day 4 - Creating visualisations with Power BI

- How to create basic PowerBI visualisations to answer simple business questions
- How to put together a PowerBI dashboard from the basic visualisations
- Practical case study in healthcare
- Communications in Data Visualisation

Day 5 – Consultation/ Project presentation

Project Consultation

Each group of participants will present the progress of their projects and have the opportunity to ask questions and clarify any doubts pertaining to their projects.

Project Presentation

Each group of participants will showcase their work and respond to questions during a Q&A session.

Course Fees and Funding

Full course fee inclusive of prevailing GST

You pay

SkillsFuture Course Fee subsidy (70%)

  • For Singapore Citizens < 40 years old 
  • For Permanent Residents

You pay

Mid-Career Enhanced Subsidy (90%)

  • For Singapore Citizens ≥ 40 years old

You pay

Enhanced Training Support for SMEs (90%)

  • For SME - Sponsored employees

You pay

The above module fee payable is inclusive of 9% GST. 

Register your interest

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Thia Wei Soon
Instructor, SUTD Academy

Wei Soon has more than ten years of experience working in the manufacturing and IT sectors. He worked as a data scientist using data analytics and machine learning to deliver actionable insights and drive strategic marketing initiatives. In recent years, as a technology consultant, he successfully helped clients to streamline enterprise operations and achieved cost saving through the adoption of robotic process automation.

Wei Soon has a Master of IT in Business Artificial Intelligence from Singapore Management of University and a B.Eng in Mechanical Engineering from Nanyang Technological University. He is proficient with tools such as Tableau, Jupyter, RStudio, MS Visual Studio, Automation Anywhere, UiPath, and programming languages such as Python, R, C#, HTML5, and JavaScript.


Narayan Venkataraman
Assistant Director, Data Management & Informatics, Changi General Hospital

Narayan (Nari) is a Data Science and Biomedical professional with more than 22 years of experience in healthcare with diverse portfolio spanning data science, health informatics, data governance, medical technology, clinical quality and operational analytics, patient safety and risk management.
He is currently the Assistant Director, Data Management & Informatics at Changi General Hospital, Singapore. Recipient of the Singapore Commendation Medal 2022 for Covid19, he is a member of the CGH Covid19 Taskforce and many strategic committees at CGH and SingHealth (SHS). He has completed many medical projects across the Asia-Pacific region representing Singapore MOH and MFA. He is also an honorary biomed consultant for Smiles Asia and has volunteered for many surgical missions in Asia and Oceania. His current academic interests cover robotic process automation, AI/Machine Learning, data visualisation, risk analytics and enterprise data literacy.



Ivan Tan En-Howe
Deputy Director, Group Finance Analytics, SingHealth

Being a multi-disciplinary professional, Ivan’s experience and skill set ranges across consulting, strategic planning, brand building, data science and analytics. He is a recognised advocate of implementation science across the healthcare landscape.
He has built up multiple data analytics teams in SingHealth, partnering external collaborators to further advance patient care through clinical quality improvement and cost effectiveness. His teams specialize in data visualisation, statistical analysis, predictive modelling, geospatial analysis, and other healthcare innovation solutions. He currently leads the Group Finance Analytics team and places focus on Value Driven Care, Population Health Management and Financing Frameworks.



Ang Woo Boon
Assistant Director, Office of Improvement Science, Changi General Hospital

Woo Boon obtained his BEng from Nanyang Technological University and his MBA from U21 Global Online Graduate School. He has over 18 years of professional quality improvement experience across industrial and healthcare areas. Currently holding the designation of Assistant Director in Changi General Hospital, he often engages key stakeholders to improve the safety, effectiveness and efficiency of processes through improvement science approach. He also oversees, facilitates, coordinates and monitors various facets of Quality Improvement (with QI) and Patient Safety (PS) activities.


Policies and Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

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Cancellation & Refund Policy

  1. If a written notification is sent to within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit SkillsFuture website at

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - Employment size of not more than 200 or with annual sales turnover of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

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Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

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