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To qualify for a Professional Certificate, you should complete the prescribed short courses satisfactorily within 12 months. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. The course is designed to introduce students to methods for handling and analysing such data. Course Fees. Read All Articles. The Statistics Bootcamp is more than just an introduction to statistics, it teaches you how to use R, a command driven language for quick visual analytics. He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Prof Lim Tiong Wee received his undergraduate education in mathematics and graduate education in statistics at Imperial College London and Stanford University, respectively. Learning across faculties and disciplines is highly valued and practised, with other cross-disciplinary initiatives available for a well-rounded knowledge base and transferable skills. We offer the most extensive college degree courses in Singapore. R is a popular programming language for data analytics, statistical analysis and data visualisation. This course aims to train you to effectively use R in your statistical analysis for accurate and impactful data-driven decision making. This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. She has taught the modules related to probability, regression analysis, categorical data analysis and multivariate statistical analysis. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. The Shaw Foundation Building, Block AS7, Level 5 5 Arts Link, Singapore 117570 Level 5 (Undergraduate) & Level 6 (Graduate) Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. NUS does not offer a Bachelor's degree in Actuarial Studies. You will gain new skills and ideas, immerse yourself in new surroundings, and expand your international perspective. Applied Artificial Intelligence; Applied Machine Learning The Department of Statistics and Applied Probability (DSAP) was established in 1 April 1998 with the goals to advance statistical and data science, and, ultimately by its application, to improve and provide adequate services to our community. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. Honours Thesis (EC4401) / Independent Study (EC4660), Bachelor of Social Sciences (Honours in Actuarial Studies and Economics), Non-Graduating (Exchange & Non-Exchange) Students, Master of Economics (Applied Economics /Quantitative Economics), Faculty and Department Teaching Award Winners AY2019/2020, Graduate Students' Teaching Awards AY2019/20, Albert Hu discusses the prospects for scientific research in China, Liu Haoming and Alberto Salvo investigate how pollution drives plastic waste. This course aims to train you to effectively use R in your statistical analysis for accurate and impactful data-driven decision making. R is free and open source. At the end of the course, participants will be able to: Must be familiar with the Python programming language, or have attended the Introduction to Python training and statistics 101 at a pre-university level. Instructor. He has more than 13 years of academic and professional experience in the use of computational modelling and data-driven tools, applying them to solve problems in public health, water resource management and air quality in buildings. It will then cover the Data Science Workflow - training models and testing them through the application of machine learning models to various industry-relevant data science problems. Edmund holds a PhD in Environmental Engineering from Yale University. Is there a fixed number of vacancies available for each course? Undergraduate Studies. All undergraduate courses in NUS have limited vacancies. A source for research and instructions for finding and using statistics on Singapore. 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. This two-week, 35-hour course runs Monday-Friday, July 6-17, 2020. Several of the Department’s graduate students have won recognition for their outstanding teaching. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. The list of programmes are : At the end of this course, participants will gain an overview of the Python ecosystem as well as the skills necessary to self-learn and continue on their Python learning journey. The course then moves on to show how Python can be applied to data … Math & Logic ; Probability & Statistics; edX . Ping Shung holds an MBA from University of Adelaide. This issue features Tan Kwan Boon, Evelyn Kok and Yu Xinyao, who are practitioners and researchers in the social service sector. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance. TBC. 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. However, NUS offers the Joint Honours Degree in Actuarial Studies and Economics with the Australian National University (ANU). 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. He has also trained professionals from various companies on data analytics and the use of SAS software. 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. 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. As the course title says, it is a basic course introducing data science, open to beginners with basic computer knowledge; Pre-requisites: none; Curriculum: Introduction to data science, data visualisation, Business statistics, quizzes and project design; Part of the Skillsfuture series of courses, 2019’s intake is currently closed. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. Tobias Hofmann , University of Utah. Julian obtained a PhD degree in Information Systems from NUS. Terms and Conditions apply. New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. Click. 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. Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) at the Singapore Management University School of Information Systems. A typical module comprises of 4 modular credits (MCs) and meets 3 hours a week for 14 weeks. Welcome to NUS Department of Statistics & Applied Probability. Faculty of Arts and Social Sciences. NUS university of Singapore is ranked consistently as one of the world's top universities. This programme is offered by the School of Finance and Applied Statistics, Faculty of Economics and Commerce, ANU and the Department of Economics, Faculty of Arts and Social Sciences, NUS. Professional Certificates comprise 2 to 3 short courses (non-credit bearing). Please note, however, that student intake for each course varies from year to year. 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). The tools used will be Anaconda, Jupyter Notebook and Scikit-learn. 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. This week's Seminars. NUS Business Analytics Centre I 3 building, 21 Heng Mui Keng Terrace #03-47, Singapore 119613 © National University of Singapore. Several excellent PhD candidates from the Economics Department are seeking full time employment. 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 . Module Code Module Title Semester I 3 Aug - 5 Dec 2020 Semester II 11 Jan - 8 May 2021; BT1101. Category: Mathematics Academic/Training Unit: School of Continuing and Lifelong Education (SCALE) Department: BTech (Engineering) Course Type: Modular Course | SSG Funded This course introduces basic Python programming and community best practices such as using Jupyter/Python. Dr. Zhu Tianming did her PhD in NUS, major in Statistics, and will graduate in August 2017. Several excellent PhD candidates from the Economics Department are seeking full time employment. 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). Introduction to Business Analytics Modular Credits = 4 : Sharon TAN Swee Lin ZHAI Yingda 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. Click here to find out more! 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 an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. Welcome! 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 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). With NUS students and staff studying and working from home as part of circuit breaker measures to prevent further spread of Covid-19, the Office of Environmental Sustainability (OES) rolled-out a biweekly social media series which aimed to encourage the NUS community and keep their spirits up amidst the disruption to normal lives. studying economics in nus research feature Department newsletter Our Faculty. The programme has one intake each year, and commences in July/August for both part-time and full-time participants. BIZ 2 Building 1 Business Link Singapore 117592 +65 6601 5423 bizshortcourses@nus.edu.sg Graduate Studies. The STATISTICS COMPANION can be used with any Introductory Statistics textbook or resource, but is written to align with the text Statistics: Learning From Data, 2nd Edition. At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. His research interest lies in how data science can help organisations and businesses to be more efficient and effective. Detailed Description NUS SCALE Data Analytics Courses. To date, he has conducted over 1,600 man-hours of data science training. An NUS education provides a strong technical foundation across all areas of computing, meaning that your Business Analytics training will be bolstered by strong general computer skills. Visit. School Level. PhD Job Market Candidates. Admission Requirements. All of these courses focus on both the theory and … They discuss the challenges posed by poverty and COVID-19, Three members of the Department, Jessica Pan, John Quah, and Satoru Takahashi, were recently elected to the highly selective fellowship of the Econometric Society.Â, Three members of our department were awarded the Faculty Teaching Excellence Award by the Faculty of Arts and Social Sciences for their achievements in AY2019/2020.Â. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. Topics covered include basic concepts of spatial data, prediction (kriging) for stationary data, and modeling the three main types of spatial data – geostatisical, areal and point pattern. New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. He has organised / co-organised programming workshops and data hackathon for students. This annotated bibliography aims to help library users identify relevant publications held in the NUS Library and relevant Web sites containing statistical data on Singapore for the period 1965 onwards. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. An annotated bibliography. Julian has taught programming and data management for business at UNSW. The NUS MBA is offered on both full-time and part-time basis. The Statistics Bootcamp is more than just an introduction to statistics, it teaches you how to use R, a command driven language for quick visual analytics. Department of Statistics & Applied Probability Block S16, Level 7, 6 Science Drive 2, Faculty Of Science, National University of Singapore Singapore 117546 +65 6516 4416 He teaches courses on engineering, statistical methods, data science and analytics. The course is scheduled for 9:00 am-12:30 pm, but the timing can be adjusted so as to maximize the ability of all participants to engage during normal business hours. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Data Analytics Basic Courses . He managed the industrial relationships through projects and attachments. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. MSc in Quantitative Finance is offered by three strong academic departments in NUS – Department of Mathematics in collaboration with the Department of Statistics & Applied Probability and the Department of Economics, while MSc Financial Engineering is offered by the Risk Management Institute, which is a university level research institute. NUS graduate programmes cater to a variety of interests, namely: Doctoral degrees These are primarily research-based and are typically the first choice for students who seek depth of knowledge, enjoy creative problem solving, and who aspire to hold high level positions in their respective fields. Admission criteria for the NUS Masters of Science in Business Analytics (MSBA) programme include: An excellent Bachelor's degree with a good honours classification, preferably from Business, Economics, Computing, Mathematics, Engineering, Science of Statistics. Read More . Business Analysts, Data Analysts, Software Engineers, Programmers. STATISTICS COMPANION dives into tactics for reading and understanding Statistics problems in context, supportive mathematics preparation, study skills and fostering a productive mindset. NUS Business School. edX was f ounded by Harvard University and MIT offering free online courses from the world’s best universities and institutions to learners everywhere.. edX online courses - Mathematics The Methods School offers a wide variety of basic to advanced courses in quantitative, qualitative, and formal methods. ... You may refer to the enrolment statistics at NUS Student and Graduate Statistics as a guide. Basic SGD 3,210 (SGD 363 after MAX Funding) Date. Learn R language from our popular R Statistics SkillsFuture Course led by experienced R trainers in Singapore. The 10 th Annual IPSA-NUS Summer School for Social Science Research Methods will be held at the National University of Singapore on July 5-16, 2021.. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. 9am - 5.30pm Venue. Coursera partners top universities and organizations to offer free courses online. Welcome to the website of the IPSA-NUS Methods School. Coursera. NUS - Global Science Summer Programme 2019 is a perfect opportunity to broaden your academic and cultural horizons. She has been a part-time teaching assistant for more than three years in NUS. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. STATISTICS FOR HEALTH RESEARCH: 2014/2015 Semester 2: Tam Wai San Wilson Heng Lee Shan Mariati M Noor Cheng Kin Fong Karis Kan Jia Hui: Nursing/Alice Lee Ctr for Nursing Stud (Yong Loo Lin School of Medicine) TimeTable: PS3258 RESEARCH METHODS IN POLITICAL SCIENCE: 2012/2013 Semester 2: Woodberry, Robert Dudley: 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, Use Python for basic data munging to aggregate, clean and process data from local files, databases, and online, Create visualisation with Matplotlib, Pandas.plot, and Seaborn, Create basic to intermediate analytics models with Python/Sckit-learn, Using the above tools within the context of solving essential data science problems, Applying Python tools to import data from various sources, explore them, analyse them, learn from them, visualise them, and share them, Managing Python Environments and Packages, Interacting with local and remote databases (ODBC), Mini-Project: Making a Data Product with Python and Jupyter, Data analytics e.g., Descriptive statistics using Python, Creating visualization tools using matplotlib, Data analytics process: Supervised and Unsupervised Learning, Regression and Classification using Sci-kit Learn, Mini-Project (and/or) Recap: Creating data visualization and data analytics product, All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. New College of Humanities and Sciences by NUS delivers interdisciplinary learning at scale. NUS Enterprise NUS Graduate School for Integrative Sciences & Engineering Saw Swee Hock School of Public Health School of Business School of Computing School of Continuing & Lifelong Edn School of Design and Environment Science Speciality Research Institutes/Centres University Administration University Scholars Programme Yale-NUS College NUS Business. The course then moves on to show how Python can be applied to data mining, analytics, data science and artificial intelligence projects. This course introduces basic Python programming and community best practices such as using Jupyter/Python. This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. 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Mba from University of Adelaide on Singapore and formal methods first two things a data science Capstone Competition delivers! Part-Time and full-time participants he was given a teaching award for nus statistics course class and research for!

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