Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. 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. 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. 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. The use of business analytics for modelling and decisions represents the future of best practices for tomorrow’s success companies. This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. 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. LSE is a private company limited by guarantee, registration number 70527. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS. During implementation, an agency data-base administrator (DBA) is usually required to analyse and extract the agency data. Where this is not possible, GTP can provide DBA resources to conduct this work. The Laboratory was equipped with the state-of-the-art SGI Onyx visualisation system. Understanding your customer trend is critical to making the right decision and creating meaningful value for your customers. 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. 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. 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. He has over 30 years’ experience in IT and information management. The NUS Ubicomp Lab researches and develops Explainable AI-driven analytics and apps to improve people’s lives. He is the developer of XProg and RSOME, two analytics software packages for modeling optimization problems. Python is one of the most popular analytical programming languages for data analysis, due to its high readability and active developer ecosystem. 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. 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. This course prepares students with fundamental theory and basic instruments to capture business insights from data … 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. Established in 2012, we are a team formed to … 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 … For current information go to customerservice.nsw.gov.au, 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. Coverage includes acquiring, organising, analysing, and presenting large data sets. Note: should you wish to claim CPD activity, the onus is upon you. London School of Economics and Political Science. • NUS set up the Visualisation Laboratory at the Computer Centre to provide high-end scientific visualisation resources to support research activities on campus. The course has an estimated 70 hours of learning. Certainly, they’ll be the person with the best tool recommendations! As the world becomes ever more data-driven, analytical skills are in high demand but very short supply. Customer outcomes. 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. CS2040 Data Structures and Algorithms. We pay respect to the Traditional Custodians and First Peoples of NSW, and acknowledge their continued connection to their country and culture. By the end of the course, you'll have the basic capability in using Python for simple data transformation and analysis. Dr Guo teaches executive programmes of Data Analytics and Design Thinking at NUS. 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. All reading materials for this course will be made accessible to you through the Online Campus. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. 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 … This module develops a … Understanding your customer trend is critical to making the right decision and creating meaningful value for your customers. This interactive, supportive teaching model is designed for busy professionals and results in unprecedented certification rates for online courses. Prior to joining NUS Business School, he was a research staff at Texas A&M University. In a smaller company or a startup, you’ll probably find data visualization falling … Maintain data assets and generate an income through API.NSW. This course is presented entirely online, in collaboration with leaders in online education, GetSmarter. Data visualisation can be used to discover unknown facts and trends. Visualisation - Deliver data shown graphically so that it will be easier for your stakeholders to understand and process it. Data management - Acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.

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