Data Analytics

Data Analytics

Real-world data science is messy, and very different from reading or learning from a book. Having developed and deployed data analytics projects around the APAC region since 2012, we know this well. In our courses, we draw from our “battlefront” not only technical knowledge but lessons learned to share with managers, data scientists and infrastructure engineers. We focus on telling it like it is, on showing what it really takes to deliver quality data science.


NUS SCALE Data Analytics Courses

Data Analytics Basic Courses 

Data Analytics Intermediate Courses 

Data Analytics Advanced Courses 

Data Analytics for Senior Executives

Data Science Instructors

Speaker

Dr Edmund Low

Dr Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. He teaches courses on engineering, statistical methods, data science and analytics. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. He has organised / co-organised programming workshops and data hackathon for students. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. He has more than 13 years of academic and professional experience in the use of computational modelling and data-driven tools, applying them to solve problems in public health, water resource management and air quality in buildings. Edmund holds a PhD in Environmental Engineering from Yale University.

Speaker

Gary Ang

Mr Gary Ang's expertise spans the domains of quantitative finance and data science, as well as data visualisation and design. He most recently headed the division in the Monetary Authority of Singapore (MAS) responsible for the investment risk management of Singapore's official foreign reserves. Prior to that, he was the quantitative lead for financial risk in MAS, responsible for assessing and validating the risks of models employed by financial institutions. He has deep experience building and validating a wide range of quantitative models in VBA, Python and Matlab, and loves coding and hacking in Python and Javascript for machine and deep learning, as well as data visualisation. He writes regularly on financial, data science, and data visualisation topics on Medium (medium.com/@playgrdstar), and has conducted courses on data analytics, data visualisation and model risk management in MAS.

He has a Masters in Knowledge Engineering, as well as a Masters in Financial Engineering from the National University of Singapore. He obtained his bachelor's degree in Electrical Engineering from the University of Toronto on a Public Service Commission Overseas Merit Scholarship.

Speaker

Dr Guo Lei

Dr Guo Lei is an active researcher and educator in behavioural research, data analytics, and service innovation, with international experience in delivering applied research and practice-based learning programmes with successful results. She has particular experience in tackling complex challenges through design thinking, business analytics and strategic communications. Dr Guo is also an accomplished author, having publications in both academic and professional domains. She has worked with clients in sectors such as transport, public service, banking, retail, gaming, support services and infocomm. Previous clients include Land Transport Authority of Singapore, Singapore Public Transport Council, Singapore National Library Board, Info-communications Development Authority of Singapore, United Overseas Bank, Bank of China, China Agricultural Bank, Club 21, CapitaLand, Singapore Pools, UK BAE Systems, China Mobile, and Wuxi Municipal Government China.

Speaker

Dr Julian Lin

Dr Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. He has been conducting text-analytics research since 2010 and teaching visualization since 2007. During his IT consultancy career, he oversaw the application and infrastructure projects in Amoseas, Mannesmann Dematic Colby (Sydney), Alcatel (Sydney), and the University of New South Wales (UNSW) Faculty of Commerce and Economics. Julian has taught programming and data management for business at UNSW. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. He was given a teaching award for visualization class and research award for user acceptance research in NUS. Julian obtained a PhD degree in Information Systems from NUS. He was a recipient of two scholarships from the Overseas Chinese Association in Taiwan while pursuing his Bachelor degree and another scholarship while pursuing a Master degree in Australia.  

Speaker

Koo Ping Shung

Koo Ping Shung is an experienced Data Scientist with 13+ years of relevant experience. He is also an Adjunct Senior Faculty with Singapore University of Social Sciences (SUSS). He is a seasoned trainer, having conducted over 1,600 man-hours of data science training and is the mentor to trainees in the IMDA-SAS BIA Programme for 5 intakes. Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University. Previously, he was the Analytics Practicum Manager at SMU, SIS. He often advised companies on the data analytics projects they can work on and is a co-supervisor for many Masters students on their projects. He was an instructor in DBS Graduate Associate Programme, training 200+ Graduate Associates on analytics. Ping Shung was a facilitator for the IDA Data Science MOOC programme and participated in Data Literacy Bootcamp, co-organised by the IDA Singapore and The World Bank. Ping Shung has gathered much experience on analytics, from data collection, machine learning to presentation of insights. His analytics experience range from a variety of business functions and industries. His strong passion in data science can be seen, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore. His research interest lies in how data science can help organizations be more efficient and effective. Ping Shung holds an MBA from University of Adelaide and obtained his bachelor degree in Economics from NUS, minor in Computational Finance.

Speaker

Laurence Liew

Laurence Liew is a veteran of the open source, Linux and high performance computing, grid and cloud community and has been promoting the use of Linux/HPC/grid/cloud since 1998. Laurence currently heads up industry and engineering development under the Singapore National Research Foundation’s AI.SG initiative and is, also, an Adjunct Associate Professor at the National University of Singapore School of Continuing and Lifelong Education (NUS SCALE). Prior to joining NUS, Laurence introduced Singapore to advanced analytics and machine learning through companies such as Numascale where he architected an in-memory analytics appliance, and Revolution Analytics Singapore where he introduced enterprise R analytics to organisations in Singapore and Asia. In particular, he conceptualized and built the Revolution’s Centre of Excellence for Analytics in Singapore in partnership with the Infocomm Development Authority of Singapore (IDA) in 2013. He also ran Revolution's development team responsible for putting Revolution R in the cloud. Revolution was subsequently acquired by Microsoft in 2015. Laurence was involved in building the very first commercial Linux supercomputing cluster for an A*STAR research institute in 1999 and has since implemented and consulted for many organisations in Asia Pacific, Japan, Europe and US, on HPC, grid, cloud and now big data analytics. Laurence is a member of the Singapore IT Masterplan 2025 committee and mentor to several startups in Singapore and a long time Editor of Transactions on Computational Sciences by Springer Journal. Laurence graduated from NUS with First Class Honours in Engineering, and holds a Master in Knowledge Engineering from NUS.

Learning Journey


Data Analytics LJ_v221019 
 
20 March 2020