Julian obtained a PhD degree in Information Systems from NUS. Bee Luan graduated with a Bachelor of Science with Honours, double major in Computational Science and Mathematics from NUS. Prior to joining NUS Business School, he was a research staff at Texas A&M University. We are living in the era of big data, with massive amounts of data and algorithms dominating our daily lives. Determining how to improve people’s engagement with and commitment to the organization. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. MSc in Data Science and Machine Learning (by Coursework) (Prospective Students) Admission Requirements Graduates with Bachelor (Hons) degrees in Quantitative Sciences (e.g. 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. 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. It is designed and taught by award-winning academics from NUS Business School and NUS Computing. 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. 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 Held in Singapore. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 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. Visit. Orange has a point-click-drag-and-drop GUI, no programming is required. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. 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. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. 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 skills to make sense of data will enable you to make better informed decisions. About the Course. 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 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. 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. BMA5002 Analytics for Manager Fact-based decisions supported by timely data analyses are the norm in this “Big Data” era. 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. Big Data Analytics Technology Students learn to analyse data that cannot fit in the computer’s memory and apply such analysis to web applications. tools, applying them to solve problems in public health, water resource 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. 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 She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. 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. 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 … Bachelor of Science (Honours) with Major in Data Science and Analytics. has received both the USP Teaching Excellence Award, as well as the NUS Annual This course will focus on how to measure and improve the Human capital of an organization. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. Unfortunately, many organizations lack the talent and structure to turn Big Data Analytics into a common practice. She was the Principal Investigator for a series of research projects to inform better public transport policy decisions. Course Objectives. He managed the industrial relationships through projects and attachments. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. 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 … 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. 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. NUS SCALE Data Analytics Courses. Terms and Conditions apply. 1. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. 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. Business Analysts, Customer Service Managers, Physiotherapists, Procurement Officers, HR Executives and any professionals, managers and executives. 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. 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 corresponding maximum candidature periods are 2-years and 4-years respectively. School Level. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access … Business Analytics. We are taught how to wrangle with big data, develop machine learning models, and then translate them into powerful business insights. 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 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 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. 4-year honours degree. Data is more readily available in the digital economy. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. Predict customer behaviour with analytics. Essentially this course is designed to add new tools and skills to supplement spreadsheets. 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. At the end of the course, participants would be able to: Experienced with using Excel in manipulating data, charting and basic analysis. He has more than 13 years of academic and 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. Dr Guo returned to Singapore and joined NUS as a faculty member in 2011. Use R independently to explore data for better decision making. TGS-2020506065 (Classroom Learning) This module introduces basic data analytics concepts with a focus … Solve business problems with intelligent insights. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Develop data-driven rigorous solutions to commonly faced marketing problems. 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 . 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. 2. Ping Shung holds an MBA from University of Adelaide. Understanding and using data is increasingly an important part of an executive function. Engineering from Yale University. The Master of Science in Business Analytics (MSBA) is a programme offered by the NUS Business Analytics Centre (BAC). Edmund holds a PhD in Environmental Participants will learn various aspects of data engineering while building resilient distributed datasets. 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. Course Objectives. GST (SSG subsidies available^) 1st run 25 – 27 November 2020 (21 hours) Due on the prevailing COVID-19 environment, classes will be conducted online. 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. 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. She consults local and overseas corporate clients on data analytics, user experience design and service innovation. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. 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. 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. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. National University of Singapore –B.Sc. DSA5812 Data Analytics: Further Principles and Practice. 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. 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. Prerequisites: Participants should have basic computer literacy and are seeking to pursue analytics for work purpose or personal upgrading. With increasing recognition of the role of analytics in our economy, the demand for skilled data-analytics professionals is set to grow quickly. This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. Data analytics will help organisations gain greater insights of their businesses to make better informed decisions and take actions. 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