[1-day Short Course] Data Analysis and Reasoning for Social Workers
Registration Guide
(self-sponsored)
Applicable for self-sponsored learners who are registering for themselves.
Registration Guide
(company-sponsored)
Applicable for company-sponsored learners and HR/admin teams who are registering for their staff.
Course Brochure
View the full course details in the link below or share the brochure with your team.
Register Now
Register via NUS Online Application Portal in the link below.
About the Course
In this course, we will explore data analysis techniques tailored for social workers to devise strategies to contribute to decision making on agency policy formulation, and service development to enhance the well-being of vulnerable clients and their families. This course isn’t just about crunching numbers – you will gain skills in interpreting and reasoning with data, enabling you to craft compelling narratives that will inform and guide your decision-making in real-world scenarios. More importantly, you will learn to critically evaluate interpretations to refine your analysis and enhance decision-making.
Objectives
At the end of the course, participants will be able to:
- Equip learners with statistical tools to handle the volume and complexity of such data to manage and make useful inferences of social service research data.
- Perform descriptive, diagnostic, and prescriptive analytics by learning how to identify, interpret, and evaluate patterns in social service datasets.
- Distinguish between direct and proxy measures while recognising the underlying assumptions and biases in one’s own interpretation of data when designing effect social service policies/intervention strategies.
- Critically assess the strength and weakness of different social service policy measures , using the analytical tools to justifying the use of coming out with new policy and measures in different real world client scenarios’ through impact analysis.
Who Should Attend
This course is designed for practitioners, such as social workers, counsellors, or caseworkers in the social service or health care sector. In particular, anyone who needs or wants to make strategic decisions based on data.
Course Requirements
Minimum Diploma level
Course Fees
| Fees Description | Total Payable (incl. GST) |
| Full course fees | $926.50 |
| Preferential rate* (*Applicable for all social workers/social service practitioners) |
$648.55 |
About the Instructors
Jonathan Y. H. Sim
Lecturer,
NUS Department of Philosophy
Jonathan Y. H. Sim is a Fellow at the NUS Teaching Academy, and a Lecturer with the Department of Philosophy, at the National University of Singapore, where he teaches the Philosophy of Computing and Data Analytics and Chinese philosophy to both undergraduates and working professionals. He also teaches philosophy to the elderly as part of a collaboration between NUS and the National Silver Academy. For his passion in teaching and his effective teaching innovations, Jonathan won the University's Annual Teaching Excellence Award (ATEA) in 2024; and the Faculty Teaching Excellence Award (FTEA) in 2019, 2021, and 2022.
Jonathan has a special interest in crossing beyond disciplinary boundaries in the search for fascinating new insights to address age-old problems. It is for this reason that he has worked with Nobel Laureates and many top academics around the world to publish books on critical world issues, such as “Grand Challenges for Science in the 21st Century” (2018), “Buying Time for Climate Action” (2021), and “Fit for Purpose? The Futures of Universities” (2022).
For his passion in sharing the joys of philosophy, and his knowledge of philosophy across a spectrum of applied issues, he has been invited to discuss philosophical issues on a variety of issues ranging from AI and its impact on education and society, to other pressing issues such as the future of work, for the Business Times, Channel New Asia, China Global TV Network, the Financial Times, the Sydney Morning Herald, the South China Morning Post, and TODAY News.