By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. TGS-2020506066 (Classroom Learning) Database and data visualisation (SQL, NoSQL, relational database systems, document database, visualization of data etc.) has received both the USP Teaching Excellence Award, as well as the NUS Annual 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. Julian obtained a PhD degree in Information Systems from NUS. Our Marketing Analytics & Insights (MAI) programme is designed to be relevant to the world of big data and analytics. Although select online programs can be used toward an Executive Certificate, at least one program must be attended in person or as a live online program. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. He has been conducting text-analytics research since 2010 and teaching visualization since 2007. This visual form can be a chart, graphs, lists or a map etc.This representation helps people to understand the magnitude of the data. Course Reference No: He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. 19, 22 & 23 Mar 2021. Data visualisation is the first step in any data analysis, often used in various settings from indicating underlying relationships to exposing characteristics of the data. 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). He also has Masters in Business Research and Physics and a Bachelors in Law. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. 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. Click. Moreover, he has registered three patents and published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including analysis of the effectiveness of research projects in enterprises, and data mining to extract the common patterns among the unsuccessful BSc students. management information systems, data analytics and e-business systems. He Click, Data Analytics and Visualization for Managers. 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. 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. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes. This course has been designed to equip analytics professionals and managers with an understanding of Data Analytics Process and Best Practices II so that their analytics activity downstream will be more credible and useful. 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). Unlike the majority of data analytics courses that focus mainly on the analysis of datasets, this programme will equip participants with data visualisation skill sets. 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. Teaching has always been her passion and Data Analytics is her new area of interest. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development. Bee Luan is a passionate educator with more than 14 years of teaching experience in an institute of higher learning. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. 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. Low is a lecturer with the University Scholars Programme Experienced with using Excel in manipulating data, charting and basic analysis. Note: This course is suitable for participants who have not attended any of the following courses: If the participant has attended any one of the above courses, he / she is encouraged to attend the other two one-day courses to achieve similar outcome. 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). Dr. Monajemi was the data science advisor of MSC (Mobarakeh Steel Complex, the largest in the country). 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. 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. Participants will also learn how to collect data from the web using web scraping tool. His 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. 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. He has a strong interest and passion for data Upon successful completion of Beyond the Basics: Data Analytics and Visualization for Accounting Professionals, you will earn a certificate of completion, and a digital badge. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. Dr. Benjamin Lee . 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). The main aim of the Diploma in Data Analytics is to give students the knowledge and practical insight into the workings of the business analytics industry. 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 has a strong interest and passion for data analytics, visualization and e-business. 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. He teaches courses on A roadmap of how to build an internal data science competency in an organisation will be discussed. She has particular experience in tackling complex challenges through applied research and education. Statistics Competition; Statistics and Data Science Enrichment Camp; CET. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. 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. He has organised / co-organised engineering, statistical methods, data science and analytics. Senior lecturer in Data Analytics and Visualization with the School of Physics and a Bachelors in Law. He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. Business Trends and Insights* Session 1: 23, 24, 25 Jun 2021 Session 2: 28, 29, 30 Jul 2021. Offered by University at Buffalo. However, creating intelligence and gleaning real insights from this data is what continues to elude organisations.” – Competing on Analytics: The New Science of Winning. Difference Between Data Visualisation and Data Analytics. He has more than 13 years of academic and Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas. Data analytics empowered by Python programming skills will provide you, as a professional, as well as the organization you work for, a competitive edge in the market. He is experienced in different sub-domains of data science from theory to practice, including data mining and pattern recognition. has over 30 years’ experience in IT and information management. Julian has taught programming and data management for business at UNSW. 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. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. 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. To date, he has conducted over 1,600 man-hours of data science training. B. Sc. 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