She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. She was also responsible for setting up Shanghai Office and promoting executive education programmes for NUS Business School in Greater China market. This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. Develop data-driven rigorous solutions to commonly faced marketing problems. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. Understanding and using data is increasingly an important part of an executive function. 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. He was a recipient of two scholarships from the Overseas Chinese Association in Taiwan while pursuing his Bachelor degree and another scholarship while pursuing a Master degree in Australia. Julian obtained a PhD degree in Information Systems from NUS. 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. 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. 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. School Level. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. Engineering from Yale University. This course will focus on how to measure and improve the Human capital of an organization. Course Code: CRS-N-0047946/ TGS-2020507036 In view of the current Covid-19 situation, the upcoming course run will be held online. Julian has taught programming and data management for business at UNSW. Visit. Please visit, MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management, Microsoft Data Science Capstone Competition, research award for user acceptance research, 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, Understand the data analytics end-to-end workflow, Identify where the potential sources of data can come from, Use a GUI-based analytics tool to process, clean and prepare data for analysis, Perform basic analysis such as classification and predictions, Select the most appropriate analytics model to use for a specific task, Painting the big picture – Big Data and Data Analytics, Exploratory Data Analysis and Linear Regression-Predicting HDB Prices, Logistic Regression-Predicting HDB Prices, All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. 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. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. 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. Course Objectives. AI and Machine Learning Begins With Me ; Analytics in Industry 4.0; Chatbot Development Begins With Me; Data Analytics Begins With Me; Data Visualization Begins With Me; Quantitative Data Reasoning Bootcamp; Data Analytics Intermediate Courses . management and air quality in buildings. This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. 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. Build a data-driven organisation. Click. 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. 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. No programming experience required. Understanding and using data is increasingly an important part of … He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. From beginner courses that introduce basic concepts to more technical programming and visualisation techniques, you will acquire data analytics skills and learn the real-life applications of data science. 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. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. 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. 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. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Starting her career in Singapore as a marketing practitioner, Dr Guo worked across manufacturing, entertainment and education industries. 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. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. 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. Retaining key people. 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. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. 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 He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. 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. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. To date, he has conducted over 1,600 man-hours of data science training. Strategic Technology Management Institute. The corresponding maximum candidature periods are 2-years and 4-years respectively. GC stands for Graduate Certificate . A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. A roadmap of how to build an internal data science competency in an organisation will be discussed. Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. National University of Singapore –B.Sc. The objectives of the Specialist Diploma in Data Science (Data Analytics) are to provide training in the fundamentals of statistics and programming for data science, and to provide training on specialised skills in the areas of data mining and applied statistical methods. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. Edmund holds a PhD in Environmental 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. 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 3-5 Mar 21. Course Objectives. 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 … 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 … 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. 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. Teaching Excellence Award. Data Analytics @ Work. Spatial Reasoning from Sensor Data (TGS-2020001513) Duration: 3 days 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. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. In her capacity as a lecturer, Bee Luan was involved in developing FutureReady certification courses and conducting SkillsFuture for Digital Workplace courses for the adult learners in the banking and aviation industries. 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. Course Objectives. She has particular experience in tackling complex challenges through applied research and education. We will cover basic concepts of data analysis, processing of data, and visualisation of raw data and processed data to gain insights, followed by building simple models for classification and prediction. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Big data is now part of every industry sector and function of the global economy. 2. 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. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. 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. Data is more readily available in the digital economy. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. He Dr Lek Hsiang Hui currentlyteaches courses in undergraduate Requirements Analysis and Design, Data Mining, and Business Analytics at the School of Computing, National University of Singapore. NUS Business. He managed the industrial relationships through projects and attachments. 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. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. Use R independently to explore data for better decision making. It introduces the various tools and techniques used by data science teams today. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Course Objectives. 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). MSc in Data Science and Machine Learning (by Coursework) (Prospective Students) Admission Requirements Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. She was the Chief Representative in China for a Singapore listed company. 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. It i… 4-year honours degree. Business Analytics. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. NUS SCALE Data Analytics Courses. This course introduces intermediate concepts and tools in analytics, building on the foundation gained in Data Analytics: Principles and Practice for problem formulation and problem-solving using data. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. Offered by NUS’ … Basic Participants will learn various aspects of data engineering while building resilient distributed datasets. SSG Course Code: CRS-N-0047000/ TGS-2020502100 This course run will be conducted on campus, face-to-face. NUS MSBA Application Checklist - AY2021/2022 Program Description. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Learn big data and data mining techniques. Specifically, it will focus on using analytic techniques to support. Solve business problems with intelligent insights. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. 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). 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