The emerging phenomena of Big Data – large pools of data sets that can be captured, communicated, aggregated, stored, and analyzed – has presented companies and organisations with trillions of bytes of information about their customers, suppliers, and operations. Course Objectives. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. As an educator, Edmund Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access … TGS-2020501963 (Synchronous e-Learning). The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire changes around the world. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Understanding and using data is increasingly an important part of an executive function. It i… Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. For more information, visit, Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at, Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit-, NTUC Training Fund (SEPs) – All self-employed (i.e. 9am - 5.30pm Venue. Course Objectives. He often advised companies on the type of data analytics projects they can work on with their data and is a co-supervisor for many Masters students on their data analytics capstone projects. ... Business Analytics & Master of Computing (NUS School of Computing)^^ Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Managers have to lead their organisations by setting the direction and the strategies on how data analytics can be applied in the various parts of the organisation to harness value from the data. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. She was the Principal Investigator for a series of research projects to inform better public transport policy decisions. Focused on the understanding of Big Data Analytics, this course explores how organizations could use their well-captured big data to strategize and reshape their organizations for greater productivity and effectiveness. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. The NUS degree programme in Data Science and Analytics will equip you with the necessary analytical and communication skills to gain a competitive edge in this rapidly growing field. Teaching has always been her passion and Data Analytics is her new area of interest. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. In this course, students will be exposed to the Data and Decision Analytics Framework which helps the analyst identify the actual cause of business problems by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions can and should be … He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. His strong passion in data analytics and data science can be seen through his involvement in data analytics interest groups, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of the DataKind SG project. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. Undergraduate Programmes in NUS NUS is a comprehensive university offering our students a diverse spectrum of courses and enriching them through our multidisciplinary and cross-faculty approaches. Retaining key people. School Level. 4-year honours degree. This course aims to equip participants with a […] Ping Shung was a facilitator for the IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp which was co-organised by the IDA Singapore and The World Bank. SSG Course Code CRS-N-0051502 Level Intermediate Requirements Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM) Course Fees SGD3,049.50 incl. This course provides graduates with fundamental skills in statistics and data mining that are required by jobs in these industries that involve working with data and extracting information that is useful to the business. Centre for English Language Communication (CELC) 24 Centre for Future-ready Graduates (CFG) 24 Duke-NUS 24; Faculty of Arts & Social Sciences (FASS) 24 FACULTY OF ARTS AND SOCIAL SCIENCES 24; Faculty of Engineering (FOE) 24 Faculty of Science (FOS) 24 Institute of Systems Science (ISS) 24 Lee Kuan Yew School of Public Policy (LKYSPP) 24 Multidisciplinary 24; NUS Business School 24 No programming experience required. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions.

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