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Professional Certificate

Professional Certificate in Data Strategy and Storytelling

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Data StrategyTo be advisedClassroom LearningTGS-2022012359
Communicating Insights with Data StorytellingTo be advisedClassroom LearningTGS-2022011489
Duration 6 days

Programme Overview

The Professional Certificate in Data Strategy and Storytelling empowers learners with essential competencies to develop effective data strategies within organisations and to effectively communicate insights from data through compelling visual representations. In this program, participants will learn how to assess an organization’s current data landscape, identify strategic opportunities for leveraging data, and develop actionable plans to achieve organizational goals. Participants will be able to develop a solid foundation in data visualization principles, how to design visually engaging charts, graphs, and dashboards that transform complex data into clear and intuitive visuals. Through interactive tools and case studies, learners will be able to implement data strategies to unlock the full potential of data as a strategic asset, leverage the power of data visualization and storytelling to communicate, influence stakeholders, and drive meaningful outcomes.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Understand big data and how big data analytics can help organisations achieve a competitive advantage.
  • Learn how to make strategic use of the data available in organisations.
  • Learn how to use data to improve business decisions and operations.
  • Learn how to monetize data to increase the organisation’s revenue.
  • Learn how to communicate data insights through effective data storytelling.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively. It will also prepare learners for the following job roles:

  • Data Analysts
  • Informaticians
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This programme is part of

  • Advanced Professional Certificate in Business Analytics

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • PSEA

    • Instructors


    Dr Yeo Wee Kiang

    Dr Yeo Wee Kiang

    Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing, where he is dedicated to researching the use of technologies like Adaptive Learning and Large Language Models (LLMs) to create personalized and engaging computing education experiences. With a PhD from NUS focused on machine learning and data mining for pharmaceutical drug discovery, Dr Yeo brings practical industry experience as the former Director of Data Science at a food tech startup, where he led a team applying AI and machine learning to enhance nutritional value. His diverse background includes being an Adjunct Lecturer in the Department of Economics at NUS Faculty of Arts and Social Sciences, helming the Big Data Analytics module in the Master of Economics programme from 2019 to 2023, and teaching Python programming and data analytics at Nanyang Business School. Prior to his academic appointments, Dr Yeo was the Lead Instructor for Data Science at a New York-based commercial Continuing Education and Training (CET) provider, teaching aspiring adult learners in Hong Kong, Sydney, and Singapore. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore. As part of the NUS ACE (Advanced Computing for Executives) teaching team, Dr Yeo specializes in technical training and practical computing education focused on data analytics, machine learning, and Python, aiming to equip professionals with in-demand Data Science skills.

    Ms Samantha Sow

    Ms Samantha Sow

    Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,863.90 S$723.90 S$1,863.90 S$723.90 S$6,213.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

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