nus data analytics course
In this program, students learn through a balance of intellectual academic rigor and hands-on application. Edmund holds a PhD in Environmental Category: Data Analysis Academic/Training Unit: NUS Business School Department: ANALYTICS & OPERATIONS Course Type: Modular Course | SSG Funded. NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). She has particular experience in tackling complex challenges through applied research and education. 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. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. In support of the NUS resilience and growth (R&G) initiative, she also provides training for fresh graduates so that they can continue to learn in the uncertain times of COVID-19. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. DSA5812 Data Analytics: Further Principles and Practice. 2. This course aims to equip participants with a […] Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. Basic Data Analytics taught with a simple but powerful graphical user interface (“GUI”) drag-and-drop tool targeted at business analysts requiring more sophisticated capabilities than what a spreadsheet can offer. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. Business Analysts, Customer Service Managers, Physiotherapists, Procurement Officers, HR Executives and any professionals, managers and executives. 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. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics). He has been conducting text-analytics research since 2010 and teaching visualization since 2007. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. 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 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. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. 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 … With increasing recognition of the role of analytics in our economy, the demand for skilled data-analytics professionals is set to grow quickly. Solve business problems with intelligent insights. 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. We are living in the era of big data, with massive amounts of data and algorithms dominating our daily lives. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). She also holds a Master in Business Administration in Strategic Management from the Nanyang Technological University and had obtained a Certificate in Teaching & Learning (Higher Education). This course aims to equip participants with a […] Become an Excel power user and increase your job efficiency by equipping yourself with emerging data analysis skills in an increasingly digitalised workplace. 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 Applied Artificial Intelligence; Applied Machine Learning The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. 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. She consults local and overseas corporate clients on data analytics, user experience design and service innovation. This course will focus on how to measure and improve the Human capital of an organization. Engineering from Yale University. Teaching Excellence Award. Retaining key people. Attracting and recruiting the best staff. A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. SGD 3,210 (SGD 363 after MAX Funding) Date. She was also responsible for setting up Shanghai Office and promoting executive education programmes for NUS Business School in Greater China market. GC stands for Graduate Certificate . Data Science and Analytics (DSA) — National University of Singapore (NUS) The National University of Singapore’s DSA Program emphasizes on the application of data science and analytics at more prominent industries in Singapore such as biomedical sciences, healthcare, manufacturing, e-commerce, and many more. Through lectures, case studies and discussions, you will gain real-world insights on various applications of big data analytics and machine learning, and how they can be used to fuel better decision-making within the context of your own … Data Analytics Academic/Training Unit: SCALE Department Module/Course Title Module/Course Code Course Type INSTITUTE OF SYSTEMS SCIENCE NICF - Predictive Analytics - Insights of Trends By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. 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. 1. 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. 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 About the Course. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. Guo Lei is an active educator and researcher in data science, behavioural study and design thinking, with extensive experience in delivering practice-based learning programmes and applied research projects with successful results. Programme Code: TGS-2020501626. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. Spatial Reasoning from Sensor Data (TGS-2020001513) Duration: 3 days Course Objectives. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. Apply Now Send An ... this basic level course is designed to equip you with relevant Excel skills for the purpose of analysing data in business applications.
By Tan Chee Chiang, Research Computing, NUS Information Technology, on 12 May 2020
We launched Data Engineering support services a while ago to support and accelerate data centric research such as in Analytics and AI. 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. To date, he has conducted over 1,600 man-hours of data science training. Understanding and using data is increasingly an important part of an executive function. 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 Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. 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. Data Science & Analytics. 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. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. A roadmap of how to build an internal data science competency in an organisation will be discussed. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. It introduces the various tools and techniques used by data science teams today. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. 4-year honours degree; Collaboration between the Faculty of Science and the School of Computing; Within the Faculty of Science, jointly offered by the Department of Statistics and Applied Probability and Department of Mathematics Course Objectives. 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. 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. The award of the Executive Certificate in Data Analytics and Data Visualisation requires the successful completion within the maximum candidature of all four one modular-credit (1 MC) courses in the programme with at least a “C” grade in each course. His data analytics experience range from a wide variety of business functions and industries, gathered from talking to companies or working on data analytics projects. No programming experience required. Determining how to improve people’s engagement with and commitment to the organization. Course Code: CRS-N-0047946/ TGS-2020507036 In view of the current Covid-19 situation, the upcoming course run will be held online. 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. 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. Data Science & Artificial Intelligence for Senior Executives, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, Data Analytics & Visualisation for IT Managers, Data Analytics and Visualization for Managers, Data Technology and Management for IT Professionals, Future-proof Businesses with Artificial Intelligence, Octave Programming for AI, Machine Learning and Data Analytics, Capstone Project: Developing a Data Analytics Model, Data Analytics Deployment & Performance Monitoring. ... Business Analytics & Master of Computing (NUS School of Computing)^^ The participant will also learn to use the free and open source data analytics tool – Orange – a powerful and popular Python-based data analytics tool. Basic Data Analytics taught with a simple but powerful graphical user interface (“GUI”) drag-and-drop tool targeted at business analysts requiring more sophisticated capabilities than what a spreadsheet can offer. Dates 1 Dec & 7 Dec 2020 (9am - 5pm) 10 Dec 2020 (9am - 11am) Duration 2.5 Days Course Overview To gain understanding and working knowledge of Data Analytics and Decision Science. Build a data-driven organisation. Mathematics, Applied Mathematics, Statistics and Physics) or Engineering or Computer Science Mr Ng Jinsheng joined IBM SPSS in 2008 as an Executive in Training and Consulting after his graduation from the National University of Singapore (NUS) with a Degree in Statistics and Applied Probability. 9am - 5.30pm Venue. This course provides the participant with the knowledge and skills to participate in the organisation’s data analytics process without any coding requirements. SSG Course Code: CRS-N-0047000/ TGS-2020502100 This course run will be conducted on campus, face-to-face. She was the Chief Representative in China for a Singapore listed company. 3-5 Mar 21. As an educator, Edmund Julian obtained a PhD degree in Information Systems from NUS. 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). National University of Singapore – B.Sc. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. He managed the industrial relationships through projects and attachments. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. Accordingly, a Business Analytics degree from NUS will provide you with the skills and expertise needed to build a career in today's fastest-growing and most exciting profession. 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. Learn big data and data mining techniques. Business Analytics. 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. Predict customer behaviour with analytics. He has also trained professionals from various companies on data analytics and the use of SAS software. Understanding and using data is increasingly an important part of … Julian has taught programming and data management for business at UNSW. Exploring patterns and trends by descriptive analysis and data visualisations. 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. National University of Singapore –B.Sc. 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. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. Teaching has always been her passion and Data Analytics is her new area of interest. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. Click. 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. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. Course Fees. 4-year honours degree. 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. 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. from National University of Singapore. 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 four-year direct Honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. She was the Principal Investigator for a series of research projects to inform better public transport policy decisions. Chua Bee Luan is a Senior Lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).
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