Professional Certificate in
Healthcare Analytics and Storytelling

Dates:

Healthcare Analytics: 
17 Oct, 18 Oct, 20 Oct 2023 | 9am-5.30pm | Classroom Learning

Communicating Insights with Data Storytelling: 
23 Nov, 24 Nov, 27 Nov 2023 | 9am – 5.30pm | Classroom Learning (Classes are fully booked)
28 Nov, 4 Dec, 8 Dec 2023 | 9am – 5.30pm | Classroom Learning

Duration: 6 Days

Course Objectives

This Professional Certificate will equip learners with the following competencies:

  • Understand the importance of data to a healthcare institution for operations and planning, evaluation of performance goals and improvement of service and patient care.
  • Learn the tools and techniques to clean, process, analyse and interpret various categories of healthcare analytics.
  • Acquire analytic skills using the data analytics software.
  • Understand and apply visualisation techniques and information displays to convey data and findings/
  • Learn how to produce effective and efficient data visualisations.
  • Present effective data storytellings.

Job Role Readiness

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

  • Data Analysts
  • Health Informaticians

Who Should Attend

  • This programme is designed for mid-career PMETs and healthcare professionals who are looking to pivot into healthcare analytics roles.
  • Health Informaticians
  • Nurses

Prerequisites

At least a polytechnic diploma.

Course Conveners

(Click their photos to view their short biographies)

ddddd Lek Hsiang Hui

Dr Lek Hsiang HuiDr Lek Hsiang Hui

ddddd Yeo Wee Kiang

Dr Yeo Wee KiangDr Yeo Wee Kiang

eeeee Samantha Sow

Ms Samantha SowMs Samantha Sow

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes
Healthcare Analytics: TGS-2022012279 (Classroom Learning) / TGS-2022012299 (Synchronous e-learning)
Communicating Insights with Data Storytelling: TGS-2022011489 (Classroom Learning) / TGS-2022011480 (Synchronous e-learning)