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. With increasing recognition of the role of analytics in our economy, the demand for skilled data-analytics professionals is set to grow quickly. Course Fees. 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. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. 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. Use R independently to explore data for better decision making. 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. MSc in Data Science and Machine Learning (by Coursework) (Prospective Students) Admission Requirements Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. 1. He has more than 13 years of academic and B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. 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. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. 9am - 5.30pm Venue. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. This course is designed for IT professionals to better understand data analytics and how to support and manage the technology and data. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. 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. Big data is now part of every industry sector and function of the global economy. 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 @ Work. 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. Business Analysts, Customer Service Managers, Physiotherapists, Procurement Officers, HR Executives and any professionals, managers and executives. Teaching Excellence Award. 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. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. She was also responsible for setting up Shanghai Office and promoting executive education programmes for NUS Business School in Greater China market. She was the Principal Investigator for a series of research projects to inform better public transport policy decisions. 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. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. 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). Orange has a point-click-drag-and-drop GUI, no programming is required. He has organised / co-organised programming workshops and data hackathon for students. 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. Julian has taught programming and data management for business at UNSW. 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 He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. 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. 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. Prior to joining NUS Business School, he was a research staff at Texas A&M University. This course aims to equip participants with a […] 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. A roadmap of how to build an internal data science competency in an organisation will be discussed. B.Acc, National University of Singapore Ruth is an Associate Professor of Finance who teaches Financial Markets, Financial Management and Corporate Finance. Edmund holds a PhD in Environmental
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. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. 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. 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. Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. Specifically, it will focus on using analytic techniques to support. 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. 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). 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. The concepts and coaching covered during the course are relevant to all functions relying on accurate, timely, and insightful data reporting. Engineering from Yale University. 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. Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. 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). 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. 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. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. To date, he has conducted over 1,600 man-hours of data science training. Predict customer behaviour with analytics. 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. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. 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. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. No programming experience required. Business Analytics. Become an Excel power user and increase your job efficiency by equipping yourself with emerging data analysis skills in an increasingly digitalised workplace. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. 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. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. She had provided consulting services to her clients to streamline their business processes and had successfully rolled out numerous company-wide Enterprise Resource Planning (ERP) projects for companies mostly in trading and manufacturing industries. 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 It i… DSA5812 Data Analytics: Further Principles and Practice. Course Objectives. 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. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. He teaches courses on engineering, statistical methods, data science and analytics. 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. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. 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. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. management and air quality in buildings. Teaching has always been her passion and Data Analytics is her new area of interest. As an educator, Edmund School Level. 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 obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. Programme Code: TGS-2020501626. This course aims to equip participants with a […] 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. 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. 4-year honours degree. He has also trained professionals from various companies on data analytics and the use of SAS software. The skills to make sense of data will enable you to make better informed decisions. 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. Course Code: CRS-N-0047946/ TGS-2020507036 In view of the current Covid-19 situation, the upcoming course run will be held online. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 email@example.com Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm 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 Analytics Basic Courses . 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. She was the Chief Representative in China for a Singapore listed company. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access … This course prepares students with fundamental theory and basic instruments to capture business insights from data and thus make good managerial decisions. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. 3-5 Mar 21. The corresponding maximum candidature periods are 2-years and 4-years respectively. In this program, students learn through a balance of intellectual academic rigor and hands-on application. Julian obtained a PhD degree in Information Systems from NUS. 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. Applied Artificial Intelligence; Applied Machine Learning 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. 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. Attracting and recruiting the best staff. NUS MSBA Application Checklist - AY2021/2022 Program Description. Data Science & Analytics. 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. A specialist in the area of Analytics, Dr Lek has been involved in Big Data Analytics for the past 6 years. Solve business problems with intelligent insights. 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. The NUS Business Analytics Centre (BAC) was established in 2013, in collaboration with IBM, to develop the skills and knowledge of professionals in business analytics.In a 5-year partnership that ensued, with IBM contributing industrial knowledge and NUS offering academic expertise, BAC offered and hosted the NUS Master of Science in Business Analytics (MSBA) programme. from National University of Singapore. Terms and Conditions apply. Starting her career in Singapore as a marketing practitioner, Dr Guo worked across manufacturing, entertainment and education industries. About the Course. Strategic Technology Management Institute. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. 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. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. NUS SCALE Data Analytics Courses. Course Objectives. 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. Bachelor of Science (Honours) with Major in Data Science and 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). ... Business Analytics & Master of Computing (NUS School of Computing)^^ 2. Bee Luan graduated with a Bachelor of Science with Honours, double major in Computational Science and Mathematics from NUS. Basic Held in Singapore. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. 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. Mathematics, Applied Mathematics, Statistics and Physics) or Engineering or Computer Science 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. Visit. 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. Understanding and using data is increasingly an important part of … The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. Course Objectives. 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. Exploring patterns and trends by descriptive analysis and data visualisations. Participants will learn various aspects of data engineering while building resilient distributed datasets. Business Analytics is the perfect degree for anyone interested in Statistics, Business, Computing, and of course, using data to create change. 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. 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. He has been conducting text-analytics research since 2010 and teaching visualization since 2007. She has particular experience in tackling complex challenges through applied research and education. Xiong Peng is currently a Lecturer in the Department of Analytics & Operations, NUS Business School. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. He managed the industrial relationships through projects and attachments. 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. 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 … Course Objectives. National University of Singapore – B.Sc. She has been awarded the NUS Annual Teaching Excellence Award and was placed on the Honour Roll for her commitment and performance in teaching. The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. 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. Course Objectives. NUS BAC offers the Master of Science in Business Analytics programme, develops business analytics professionals and collaborate with industry partners to meet the needs of companies across various industries actively seeking for talent who excel in the analytics field. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. We are living in the era of big data, with massive amounts of data and algorithms dominating our daily lives. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. She consults local and overseas corporate clients on data analytics, user experience design and service innovation. Date 5 July 2021 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. Understanding and using data is increasingly an important part of an executive function. 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. 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. SSG Course Code: CRS-N-0047000/ TGS-2020502100 This course run will be conducted on campus, face-to-face. Ping Shung holds an MBA from University of Adelaide. 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. 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 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. Learn big data and data mining techniques. Develop data-driven rigorous solutions to commonly faced marketing problems. This module introduces basic data analytics concepts with a focus … Build a data-driven organisation. This course provides the participant with the knowledge and skills to participate in the organisation’s data analytics process without any coding requirements. 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. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. 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. 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. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. Course Reference No: He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. Category: Data Analysis Academic/Training Unit: NUS Business School Department: ANALYTICS & OPERATIONS Course Type: Modular Course | SSG Funded. It introduces the various tools and techniques used by data science teams today. Click. 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. Spatial Reasoning from Sensor Data (TGS-2020001513) Duration: 3 days This module introduces basic data analytics concepts with a focus …