Course Reference No:
TGS-2020501963 (Synchronous e-Learning)
Basic Data Analytics taught with a simple but powerful graphical user interface (“GUI”) drag-and-drop tool targeted at business analysts requiring more sophisticated capabilities than what a spreadsheet can offer.
Understanding and using data is increasingly an important part of an executive function. Whether you are a business analyst, customer service officer, physiotherapist, procurement officer or HR executive – the ability to understand where potential data is coming from, and to properly collect, clean, and then analyse it, will be an important and critical skill.
This course provides the participant with the knowledge and skills to participate in the organisation’s data analytics process without any coding requirements. We will cover basic concepts of data analysis, processing of data, and visualisation of raw data and processed data to gain insights, followed by building simple models for classification and prediction.
The participant will also learn to use the free and open source data analytics tool – Orange – a powerful and popular Python-based data analytics tool. Orange has a point-click-drag-and-drop GUI, no programming is required.
29 July 2022, Friday FULL
26 August 2022, Friday
9.00am to 5.30pm
39 years old or younger
Dr Benjamin Lee
Dr Lee is a Senior lecturer in Data Analytics and Visualisation with the Faculty of Science at NUS. He has over 30 years’ experience in IT and information management. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas.
He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. In those projects, Dr Lee had applied data analytics to improve resource management and sales profitability with better understanding of customers, products and services. Ben has been teaching information & data management and business analytics classes since 2016. He holds a Doctorate in Business Administration from the University of Western Australia. He also has Masters in Business Research and Physics and a Bachelors in Law. He has a strong interest and passion for data analytics, visualisation and e-business.
Mr Alwin Zhang
Alwin Zhang is a Research Analyst (Data Science) currently with the department of Health Services Research Center (HSRC) in Singhealth, with a joint appointment of a Research Associate in DukeNUS. He graduated from NUS with a Masters in Business Analytics since 2018. He has a strong research interest towards applied data analytics, harnessing open-source machine learning and deep learning methodologies to solve issues and ease workflows within the healthcare industry. He has previously conducted various workshops including
Introduction to R programming and
Data de-identification within Singhealth.
In line with the Singapore Personal Data Protection Act (PDPA), please note that we have updated our SingHealth Data Protection Policy, a copy of which is available at
http://www.singhealth.com.sg/pdpa. Hard copies are also available on request.
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