High-Demand Digital Skills in the Future Economy

The research in “The Skills Demand for the Future Economy (SDFE) Report 2022”, published by SkillsFuture Singapore, found that the demand for workers with skills in the digital, green and caregiving economies has surged over the last four years. As Singapore economy continues to evolve, NUS-ISS has identified six digital skills with high demand growth from the report:

Media Data Management – 800.0% Demand Growth
Data Analytics System Design – 400.0% Demand Growth
Data and Information Visualisation – 333.3% Demand Growth
Data Storytelling and Visualisation – 321.7% Demand Growth
Data Collection and Management – 112.8% Demand Growth
Data Collection and Analysis – 100.1% Demand Growth

These skills are also highly transferable across different industries. According to Professor Lim Sun Sun at the Singapore University of Technology and Design, the Covid-19 pandemic accelerated digitalisation across industries which might have otherwise been slower to move. Furthermore, the findings that Singapore has manpower constraints implies, every industry will try to adopt faster digitalisation for efficiencies.

Acquiring and upgrading these skills would therefore help prepare mid-career professionals to remain relevant and be future-ready.

References
SDFE Report 2022
Surge in demand for green, digital, care skills in Singapore in last 4 years: SkillsFuture report

Join us for a complimentary in-person seminar on Friday 27 January 2023 on High-Demand Digital Skills in the Future Economy. See you there!

Friday, 27 January 2023
9:15am - 11:45am (Registration starts from 9am)
The seminar will be held in-person at: NUS-ISS, 25 Heng Mui Keng Terrace, Singapore 119615.

Free Admission Register Now Registration ends
on Thursday, 19 January 2023, 5pm
Please email issmarketing@nus.edu.sg for enquiries.

Seminar Agenda

9am	Registration
9:15am	Opening Remarks By Dr Rita Chakravarti Chief, MTech Enterprise Business Analytics Programme NUS-ISS
9:30am	The Intersection of Data Management and Data Storytelling: The Essential Data Skills for Data Professionals to Empower Better Decisions By Mr Brandon Ng Senior Lecturer & Consultant, Data Science Practice NUS-ISS Due to digitalisation of different industrial sectors, data-driven storytelling is increasingly adopted by organisations in order to gain the competitive advantage with data and analytics and achieve better revenue growth. This empowers the data professionals (e.g. data scientists, data analysts, data storytellers) to distill and highlight actionable insights through engaging presentation and effective communication via data storytelling. The main focus of data storytelling is to explain, engage, and enlighten the target audience. To facilitate data storytelling, data professionals also need to be equipped with the essential skills to understand and implement data manipulation and management. In this seminar, we will highlight the intersection of these two important skills and how you could plan your skill development journey ahead.
10:15am	Tea Break (Light refreshments will be provided)
10:30am	The Network Thinking: How Graphs Empower Machine Learning and Knowledge Management within Organisations By Mr Nirmal Palaparthi Principal Lecturer & Consultant, Data Science Practice NUS-ISS & Mr Prakash Sukhwal Lecturer & Consultant, Data Science Practice NUS-ISS Graph data science has been used to solve many real-life problems by analysing and representing data in the form of networks. Its applications includes finding all possible or most cost-effective travel paths that can be taken by a private hire vehicle from one destination to another, or the identification of users with anomalous or potentially fraudulent behaviours on social media platforms. During the last decade, we have seen an astounding confluence of graph theory and data science which have made graphs even more effective and useful than ever. Companies such as Google and Netflix has been utilising graph data science in their development of the Google PageRank and Content Recommender respectively. In this seminar, we will highlight how graphs power some of the human endeavours in both industry and research sectors. We will also discuss why this is an important skillset to have in the emerging digital economy.
11:15am	Production-Grade Data Science: The Whys and Hows of Bridging the Gap Between Data Science and Data Engineering By Dr Stuart Wang Senior Lecturer & Consultant, Data Science Practice NUS-ISS & Mr Lim Suang Lecturer & Consultant, Data Science Practice NUS-ISS In current times, data professionals are not only expected to be able to develop data science algorithms and models to solve business problems, but also to deploy them in real production environment. To do so, it requires the individuals to appreciate all the three aspects – 1) Use of suitable data models to achieve business goals, 2) Appropriate analytics solution & architecture and 3) The understanding of the production process. For the organisations, the integration of production-grade data science solution into the existing work processes can help identify potential bottlenecks and allows the implementation of system improvements to optimise performance and resource utilisation. In this seminar, we will discuss the nuances of construction and deployment of data pipeline in both Amazon Web Services (AWS) and Airflow environment, as well as some common obstacles and pitfalls that the organisations and data professionals faced when embarking on this journey.
12pm	End of Event

Programme may be subjected to changes.

Speakers

Mr Brandon Ng

Senior Lecturer & Consultant, Data Science Practice, NUS-ISS
View Biography

Brandon is currently an Associate in NUS-ISS. He completed his study in Computer Science, major in Software Engineering and Artificial Intelligence. Under the NUS full time research scholarship sponsored by The Logistics Institute - Asia Pacific, he did research in Intelligent Transportation System for his master study.

Mr Nirmal Palaparthi

Principal Lecturer & Consultant, Data Science Practice, NUS-ISS
View Biography

Nirmal is an Analytics professional with 18 years of experience in building practices from ground up in Asia. He has Co-founded and successfully exited from two Analytics companies. The first was Fractal Analytics, India’s leading third party analytics provider and the second: Mobius Innovations, a context awareness platform company, which was acquired for building significant IP. He has consulted for clients in 15 countries, across Banking, Retail, Telecom, Consumer Product and Enterprise Software verticals. He has also built digital ecosystems for multiple clients.

Mr Prakash Sukhwal

Lecturer & Consultant, Data Science Practice, NUS-ISS
View Biography

Prakash is a Lecturer & Consultant in Institute of Systems Science, National University of Singapore (NUS-ISS). He taught for various analytics modules at School of Information Systems, SMU Singapore for nearly three years prior to joining NUS-ISS.

Dr Stuart Wang

Senior Lecturer & Consultant, Data Science Practice, NUS-ISS
View Biography

Wang Cheng (Stuart) is a senior lecturer at the National University of Singapore's Institute of Systems Science (NUS-ISS). Prior to joining ISS, he held multiple positions (e.g. consultant, data scientist, head of data science and data & analytics lead) across health care, FMCG, gaming and fintech industries. He has global exposure from North America to Southeast Asia. He has published academic papers and is well versed in the commercial world.

Mr Lim Suang

Lecturer & Consultant, Data Science Practice, NUS-ISS
View Biography

Lim Suang is currently a Lecturer and Consultant (Data Science Practice) in the Institute of Systems Science, National University of Singapore (NUS-ISS). He is also a Fellow of the Royal Statistical Society, an UK professional body for statisticians. Suang received his MSc in Statistics and BSc (Double Major in Mathematics and Political Science) from the National University of Singapore.

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