He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. He has organised / co-organised programming workshops and data hackathon for students. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm Determining how to improve people’s engagement with and commitment to the organization. Upon completion and passing the modules within any particular GC, student will be awarded with the GC for that group together with the Master Degree upon meeting all the graduation requirement of the programme.. For e.g. 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. Mathematics, Applied Mathematics, Statistics and Physics) or Engineering or Computer Science The concepts and coaching covered during the course are relevant to all functions relying on accurate, timely, and insightful data reporting. 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. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. Visit. 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. The Master of Science in Business Analytics (MSBA) can be taken either as a 1-year (13-month) intensive full-time programme or a 2-year part-time programme. It introduces the various tools and techniques used by data science teams today. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. Exploring patterns and trends by descriptive analysis and data visualisations. 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. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. 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 Data Science & Analytics. The skills to make sense of data will enable you to make better informed decisions. Dr Guo holds a PhD in Marketing from University of Exeter, an MBA from University of Adelaide and a BA in Literature from Beijing Normal University. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. Moreover, many MBA graduates start their career as consultant / analyst advising the Supply Chain, Marketing, Finance and HR departments on making them more efficient, profitable and customer-centric. Engineering from Yale University. Prior to joining NUS Business School, he was a research staff at Texas A&M University. This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. The corresponding maximum candidature periods are 2-years and 4-years respectively. She was the Chief Representative in China for a Singapore listed company. With the aspiration of bridging the gap between research and practice, Dr Guo pursued her PhD in the UK, where she worked on large-scale research projects with Cambridge University Service Alliance, BAE Systems and China Mobile. Course Objectives. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. This course aims to equip participants with a […] 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. The focus of this course is learning Analytics – data based decision making – the art of analysing, making sense out of and strategising from data – whether you are flooded with or when faced with little data. It delivers the most complete range of analytical solutions, using simple to advanced statistical techniques, predictive analytics and data mining technology to help organisations turn data into business insights.

On 21 March 2007, SUSS and SPSS signed an MOU to promote training and continuing education in Business Analytics. Developed in partnership with Deloitte, this basic level course is designed to equip you with relevant Excel skills for the purpose of analysing data in business applications. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. Attracting and recruiting the best staff. Driven by the need to better connect with citizens and customers and the emergence of Big Data, governments and enterprises are embarking on Business Analytics and Big Data Analytics to derive citizen and customer insights, make fact-based decisions and achieve competitive advantages. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. School Level. SGD 3,210 (SGD 363 after MAX Funding) Date. Orange has a point-click-drag-and-drop GUI, no programming is required. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. 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. He was an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. Section 1: Introduction to Course and Python Fundamentals – In this introduction, an overview of key Python concepts is covered as well as the motivating factors for building industry professionals to learn to code. management and air quality in buildings. She was also responsible for setting up Shanghai Office and promoting executive education programmes for NUS Business School in Greater China market. The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. He teaches courses on engineering, statistical methods, data science and analytics. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. No programming experience required. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. NUS SCALE Data Analytics Courses. Solve business problems with intelligent insights. This module introduces basic data analytics concepts with a focus … 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. Teaching Excellence Award. Programme Code: TGS-2020501626. Retaining key people. He has also trained professionals from various companies on data analytics and the use of SAS software. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access … Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. 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). 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. 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. Understanding and using data is increasingly an important part of an executive function. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Category: Data Analysis Academic/Training Unit: NUS Business School Department: ANALYTICS & OPERATIONS Course Type: Modular Course | SSG Funded. Terms and Conditions apply. Understanding and using data is increasingly an important part of … With increasing recognition of the role of analytics in our economy, the demand for skilled data-analytics professionals is set to grow quickly. Prior to teaching, Bee Luan began her career in the IT industry in multiple roles, from project management to IT consulting in both MNC and SME companies. She has particular experience in tackling complex challenges through applied research and education. Julian obtained a PhD degree in Information Systems from NUS. Specifically, it will focus on using analytic techniques to support. Our suite of data analytics courses cater to you wherever you are starting from and however in-depth you wish to develop your skills for the workplace. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. 4-year honours degree. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Course Objectives. Honours ) with Major in Computational science and Graduate Certificate in Customer Analytics practice series offered by.... 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