We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] 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 … It also combines data analytics with machine learning. MSc with Data Analytics Specialization. This course is designed for IT professionals to better understand data analytics and how to support and manage the technology and data. Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). During his time at SMU, he was an instructor in the DBS Graduate Associate Programme (GAP) for 3 years, teaching over 200 GAs on what Analytics is all about, and received positive ratings. Data is the oil, and data visualisation is the engine that facilitates its true value. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. Mr Chan holds a Bachelor Degree (First-Class Honours) and a Master’s Degree in Engineering from the National University of Singapore (NUS). He was a guest lecturer at NUS-ISS, Adjunct Senior Faculty at SUSS and previously held an adjunct position in School of Information Systems, Singapore University of Social Science and ESSEC Singapore,. He was awarded the best university teacher of the province in 2012. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. The company is a recognised training and assessment provider for a number of global professional skills and appointed as a CET Centre for Service Excellence and Employability Skills by the Singapore Workforce Development Agency. Before going to SMU, Ping Shung was formerly from the banking industry, having worked in DBS Bank and OCBC Bank, specialized in Credit Risk Analytics and also maintained data mart and its processes for the department. This course brings the focus back to the fundamentals of exploring, cleaning, preparing the data and the process of data acquisition and management. We offer the most extensive selection of academic programmes in Singapore, collaborating with leading universities worldwide to provide our students with diverse opportunities for overseas exposure. He possesses a Professional Diploma in Data Analytics from the NUS Institute of System Sciences and an Advanced Certificate in Training & Assessment (full ACTA) from the Singapore Workforce Development Agency. These exercises will be carried out in groups. Mr Chan was also the CEO of TUV SUD PSB Learning Private Ltd, a training and consultancy business unit subsidiary of the TUV SUD group of companies. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Model Development, Deployment, Scoring and Refresh, Logistic Regression (Predicting HDB Prices), All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Established in 2016, the NUS Smart Nation Research Cluster supports and complements Singapore’s Smart Nation Initiative by developing strategic capabilities in data science, analytics and optimisation, artificial intelligence, as well as cybersecurity. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. Big Data Analytics is the practice of using digital data for understanding insights from data. Teaching has always been her passion and Data Analytics is her new area of interest. Please visit, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056, https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp, https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html, Servitization, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0 and the Smart Economy – Use Case of Managed Services, Smart factories and the transformations wrought by Internet of Thing (IoT) and Industrial Internet of Things (IIoT) – Use Case of Production Constraint Diagnosis, Big Data, Cloud Computing and the Predictive and Prescriptive Analytics needed for data-driven smart decisions and process automation – Use Case of Demand and Stock Planning, Human-machine collaborative efforts, Augmented Intelligence and the future of work and skills needed in Industry 4.0 / Smart Economy – Use Case of Smart Retail Implementation, Recognise the characteristics of advanced analytics which makes them key to Industry 4.0, Understand the basic underlying concepts of diagnostic analytics in the analysis of factory constraints, Understand how predictive analytics techniques such as count data regression could be used to forecast demand, Apply basic prescriptive analytics to recommend stocking level of several products sharing WIP space, Understand how smart systems should be designed to work with humans responsible for business outcomes, Servitization of Manufacturing & Managed Service Use Case, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0, Production Line Design & Diagnosis Exercise, Big Data, Cloud Computing and the Predictive and Prescriptive Analytics for Industry 4.0, Demand and Stock Planning Use Case & Exercise, Man-Machine Collaboration, Augmented Intelligence & Future of Work, All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Course Reference No: It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. The course will use actual use cases to cover the following: At the end of the course, participants will be able to: There will be two hands-on exercises using Excel 2016 for Windows (or later versions), with the Analysis ToolPak and Solver Add-ins. He managed the industrial relationships through projects and attachments. A research-intensive university with an entrepreneurial dimension, NUS is ranked consistently as one of the world's top universities. Pay-what-you-want monetization in live streaming (Chinese Business Center at NUS, in Chinese). Data engineers build tools, infrastructure, frameworks and services which allow them to tease insights from the myriad of data streams being generated. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising MITB (Analytics) students and doing education research. Part-time (4 semesters or 2 years); Full-time (2 semesters or 1 year) Collaboration between NUS Business School (3 rd in Asia) and NUS School of Computing (1 st in Asia) Close industry links – e.g. Date TBA Duration 1 Day Course Overview Business Analytics is not just about technical capability, but the start of some potentially significant organisational transformation – specifically on the way organisations handle and consume data and make decisions.