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Big Data Analytics & Visualisation
Analytics & IoT
The “Big Data” phenomenon has come about with the increased production, storage and availability of digital data. Organizations are now grappling with the problem on how to use these data effectively for the benefits of the business. Big Data Analytics is the practice of using digital data for understanding insights from data. To unlock the potential contained within the Big Data requires the application of techniques to explore and convey the key insights. Data is the oil, and data visualization is the engine that facilitates its true value. This workshop discusses the art and science of data visualization, methods for visualizing data and a methodology for visualizing data for effective and efficient communication of data in business. Participants will be able to create their own stunning and effective visualizations based on real data.
Learning Objectives and Outcomes
Learning Objectives and Outcomes
- Understand what big data is and how Big Data Analytics can help organizations achieve a competitive advantage.
- Appreciate the benefits and insights that Big Data Analytics bring to the organizations.
- Learn how to use methods and methodology to produce effective and efficient data visualisations.
About Professor
Professor Danny Poo
Department of Information Systems and Analytics, School of Computing, NUS
Prof Danny Poo is a Specialist in Big Data Analytics, Health Informatics, Software Engineering and Information Management. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr. Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore.
He has more than 40 years' experience in Software Engineering and Information Technology and Management. He is the founding director of the Centre for Health Informatics at the National University of Singapore. The Centre is the lead provider of human capital in Health Informatics and Analytics.
Dr. Poo has authored several books including “Java Programming”, “Object-Oriented Programming”, “Graphical User Interface Programming in Java”, “Python Programming”, and “Learn to Program Enterprise JavaBeans 3.0”. He has also published extensively in conferences and journals on Software Engineering and Information Management.
Dr. Poo has consulted for companies such as Deutsche Bank • Gemplus • Micron • NCR • PIL • PSA • Rhode-Schwarz • Standard Chartered Bank • Singapore Technologies Electronic • Monetary Authority of Singapore (MAS) • Infocomm Development Authority (IDA) • National Library Board (NLB) • Ministry of Manpower (MOM) • Nanyang Technological University (NTU) • Nanyang Polytechnic (NYP) • National University Hospital.
Department of Information Systems and Analytics, School of Computing, NUS
Prof Danny Poo is a Specialist in Big Data Analytics, Health Informatics, Software Engineering and Information Management. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr. Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore.
He has more than 40 years' experience in Software Engineering and Information Technology and Management. He is the founding director of the Centre for Health Informatics at the National University of Singapore. The Centre is the lead provider of human capital in Health Informatics and Analytics.
Dr. Poo has authored several books including “Java Programming”, “Object-Oriented Programming”, “Graphical User Interface Programming in Java”, “Python Programming”, and “Learn to Program Enterprise JavaBeans 3.0”. He has also published extensively in conferences and journals on Software Engineering and Information Management.
Dr. Poo has consulted for companies such as Deutsche Bank • Gemplus • Micron • NCR • PIL • PSA • Rhode-Schwarz • Standard Chartered Bank • Singapore Technologies Electronic • Monetary Authority of Singapore (MAS) • Infocomm Development Authority (IDA) • National Library Board (NLB) • Ministry of Manpower (MOM) • Nanyang Technological University (NTU) • Nanyang Polytechnic (NYP) • National University Hospital.
