data analytics and visualisation for managers nus

But it’s always good to have a least a basic understanding of what platforms are out there. Modules are released on a weekly basis, and can be completed in your own time and at your own pace. Data visualization represents data in a visual context by making explicit the trends and patterns inherent in the data. We pay respect to the Traditional Custodians and First Peoples of NSW, and acknowledge their continued connection to their country and culture. By observing relationships and comparing datasets, you can find a way to find out meaningful information. An MOU was signed by NUS and SGI to promote high-end visualisation technology on campus. Ultimately, you will gain insights into how to use statistics to answer your business questions. Certainly, they’ll be the person with the best tool recommendations! At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Managers who are leading their organizations have to play the lead role in shaping the direction and planning the strategies on who, what, when, where and how should data analytics be applied in the different parts of the organization. Bee Luan is a passionate educator with more than 14 years … Rather than covering the entire Python language, this course is designed to firm your foundation – to ready you to … Data visualisation can be used to discover unknown facts and trends. 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). This course is presented entirely online, in collaboration with leaders in online education, GetSmarter. His research interests are in the domain of data-driven decision-making and optimization under uncertainty. ST2131/MA2216 Probability. Coverage includes acquiring, organising, analysing, and presenting large data sets. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. This eight-week Data Analysis for Management course equips you with the skills to give your organisation a competitive advantage in any industry by using data to make decisions, extract business insights, and predict future trends. Prior to joining NUS Business School, he was a research staff at Texas A&M University. It is best suited for professionals who wish to enhance their existing skill sets to … Decision support - Support with gathering and analyses data, synthesising it to produce comprehensive information reports. You’ll learn to use Tableau - the industry standard software used worldwide - to visualise and report on specific insights extracted from data sets. Web based custom dashboard - Facility to publish a customised dashboard with a few clicks to share it live on the web and on mobile devices. The module serves as an introduction to both Python and Tableau. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. Established in 2012, we are a team formed to … Customer outcomes. Applied Data Science & Visualisation. Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. 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 … NUS Business Analytics Consulting Team is a group of students consultants supported by the Department of Analytics and Operation (DAO) under NUS Business School, dedicated to provide business analytics consulting services to any organisations. 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 … Corporate Valuation Models. ST2132 Mathematical Statistics. Big data is now part of every industry secto… Copyright © 2019 State of New South Wales (Customer Service NSW). The … He is the developer of XProg and RSOME, two analytics software packages for modeling optimization problems. As a Product Manager, you may be working in partnership with a Product Ops Manager on data visualization. This is a four-year direct honours programme which offers a common two-year … This course prepares students with fundamental theory and basic instruments to capture business insights from data … During implementation, an agency data-base administrator (DBA) is usually required to analyse and extract the agency data. The proposed training is designed for managers covering several topics in the Data Analytics area. As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. It has been estimated that organisations experience a 5% increase in productivity and become 6% more profitable than their competitors when they lead with data-driven business decisions.*. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. For more information on this service, please contact [email protected]. The Laboratory was equipped with the state-of-the-art SGI Onyx visualisation system. In a smaller company or a startup, you’ll probably find data visualization falling … 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. Our stackable modules give learners the ability to choose the exact set of skills they want to master. We are interested in combining Machine Learning and Human-Computer Interaction to improve health, wellness and livability in smart cities with interpretable predictive analytics and mobile apps for automated self-tracking. The course is hands-on; spotted with many case studies in what you need to do to solve problems including your very own real-world challenge. The London School of Economics and Political Science (LSE) and GetSmarter accept no responsibility, and cannot be held responsible, for the claiming or validation of hours or points. You will be granted a student license to download and use Tableau free of charge for the duration of the course. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. Data management - Acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. She has a passion for engaging and inspiring working professionals at all levels by applying the theory to real world business applications. Data analysis, in particular, is playing an increasingly crucial role in all perspectives of business decision making. One of the following modules: DSA2101 Essential Data Analytics Tools: Data Visualisation; DSA2102 Essential Data Analytics Tools: Numerical Computation; 26 – 28: Level 3000 and 4000 (20 – 24 MCs) Pass. By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. Understanding your customer trend is critical to making the right decision and creating meaningful value for your customers. 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. Where this is not possible, GTP can provide DBA resources to conduct this work. GTP has gigabytes of data and infrastructure that can facilitate visualisation of agency data for quicker understanding, analysis, and consumption. GTP has gigabytes of data and infrastructure that can facilitate visualisation of agency data for quicker understanding, analysis, and consumption. The NUS Ubicomp Lab researches and develops Explainable AI-driven analytics and apps to improve people’s lives. Maintain data assets and generate an income through API.NSW. Data management, analytics and visualisation. There are no formal prerequisites for this course, but some numerical literacy is advantageous, as well as basic working knowledge of Microsoft Excel. Participants who do not obtain at least a “C” grade in any course may repeat that course (with fees) to obtain a “C” grade, or … He has over 30 years’ experience in IT and information management. This course is certified by the United Kingdom CPD Certification Service, and may be applicable to individuals who are members of, or are associated with, UK-based professional bodies. Please contact your GTP representative for a customised quote. Guided by LSE experts, this eight-week online course provides you with the theoretical knowledge and practical skills to understand, interpret and communicate data relevant to your role and organisation. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. Most tools allow the application of filters to manipulate the data as per user requirements. In addition, you will get to dabble with data visualisation including creating graphs. • NUS set up the Visualisation Laboratory at the Computer Centre to provide high-end scientific visualisation resources to support research activities on campus. The traditional forms of visualization, in the form of charts, tables, line graphs, column charts, and many other forms, have of late been supplanted by highly insightful 3D visualizations.Data analytics go a ste… You’ll also complete a capstone project, demonstrating your ability to assess, summarise, and report on data-driven insights, and earn a certificate from the LSE to validate your newfound data analytics skills. Notes for each module are often downloadable, and you are able to save any information or collateral you use to your personal profile. 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. Note: should you wish to claim CPD activity, the onus is upon you. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. For current information go to, Optimise enterprise telecommunications services, Artificial Intelligence (AI) Ethics Policy, Transport for NSW Collaboration Ecosystem, Data management, analytics and visualisation, NSW Cyber Security Incident Emergency Sub Plan, Emerging Technology Guide: Artificial Intelligence (AI), NSW AI Thought Leaders Summit - 29 November 2019, Case management, compliance and workflows, Information classification, handling and labelling guidelines, Data and Information Custodianship Policy, Mandatory Ethical Principles for the use of AI, Comply with privacy legislation and principles, Service NSW omni-channel reference architecture (OCRA), How to collect data and measure performance, Visualise Agency data for quicker understanding, analysis, and consumption, Show data in spatial terms on maps, with drill-down functionality specific locations. Develop data visualisation skills with which to clearly communicate your findings to all stakeholders Complete a capstone project to demonstrate your ability to apply your learning and leverage data for insights to inform business strategy and gain a competitive advantage All reading materials for this course will be made accessible to you through the Online Campus. Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. Data analysis - Facilitate cleaning, transforming, and modelling data to discover useful information for your business decision-making. This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online courses. This module develops a … Course starts (Orientation opens): 03 February 2021, Duration: 8 weeks (excluding orientation), Gain data analysis skills that you can directly apply in your role and organisation, and develop an understanding of how data-driven models can improve your ability to make smarter, more impactful decisions in a fast-paced and uncertain world, Learn to assess the reliability of data, extract strategic business insights, and use modelling to predict future trends, Develop data visualisation skills with which to clearly communicate your findings to all stakeholders, Complete a capstone project to demonstrate your ability to apply your learning and leverage data for insights to inform business strategy and gain a competitive advantage, Module 1: Decision-making under uncertainty, Module 2: Data visualisation and descriptive statistics, Module 3: Quantifying risk through probability, Module 4: Data integrity and statistical inference, Module 6: Understanding the causes of things, Module 8: Delivering insights through storytelling, Convenor: Dr James Abdey - Assistant Professorial Lecturer in Statistics at LSE. Visualisation - Deliver data shown graphically so that it will be easier for your stakeholders to understand and process it. Such pattern and trends may not be explicit in text-based data. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis. 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. The course has an estimated 70 hours of learning. Data discovery - Facilitate collecting data from your various databases and silos and consolidating it into a single source that can be easily and instantly evaluated. Understanding your customer trend is critical to making the right decision and creating meaningful value for your customers. The module provides accounting students with the underlying concepts and foundations in data analytics and visualisation. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others.

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