The NUS Business Analytics program can help professionals leverage their organization’s data to gain insights and make informed decisions. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. With big data technologies becoming more affordable and accessible, more companies are innovating how business is done. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. With a team of extremely dedicated and quality lecturers, nus business analytics course will not only be a place to share knowledge but also to help students get inspired to explore and discover many creative ideas from themselves. What skills are needed for online learning? In this guide, we will discuss all you should know about IELTS Examination such as who is required to take it, the IELTS test format, which IELTS score you will need, how the IELTS compares to other tests and much more. Welcome to the Department of Analytics & Operations (DAO)! For organisational goals to be met, analytical maturity must be improved through the continual assessment of data. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statisti… NUS Master of Science. The NUS Business Analytics programme can help professionals leverage their organisation’s data to gain insights and make informed decisions. To further disclaim, the opinions that I have for NUS Masters in Business Analytics may not be the most accurate but I have the inclination that the courses in SMU did helped me propel my career. Intermediate Explore the need for and importance of innovation. His research has been featured also in numerous business and popular publications, including The Wall Street Journal and Fortune. The corresponding maximum candidature periods are 2-years and 4-years respectively. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and a competitive edge in the market. The UPSC IES (Indian Defence Service of Engineers) for Indian railways and border road engineers is conducted for aspirants looking forward to making a career in engineering. He is also Research Director of the Institute of Operations Research and Analytics at NUS. School Level. SGD 2,140 (SGD 242 after MAX Funding) Date. Early bird tuition assistance of USD 150 - Valid until 04, Module 1: Creating Organisational Value Through Data Analytics, Module 4: Inferring Causal Impact of Business Decisions, Module 5: Privacy, Ethics, and Risk in the Data Economy, Business, IT, Data, or Marketing Consultant, Identifying analytics challenges and untapped data sources in your organisation or industry, Articulating differences between causal and predictive analytics, Evaluating and improving your organisation’s analytical maturity and quality, Identifying suitable cause and effect variables and factors that could create biased results, Assessing how measurements, people, and technology can be leveraged to meet organisational goals, Pinpointing pertinent AI risks for your organisation and industry sector regulations relevant to these risks, Identifying accuracy metrics and factors that are vital to predicting specific business outcomes, Evaluating the current data protection infrastructure of your organisation, Evaluating organisational needs for data science personnel and analytics technological infrastructure, Recognising factors that could compromise your organisation’s data integrity or model transparency, Identify strategic, managerial, and/or organisational problems related to analytics in your organisation or industry, Assess your organisation’s level of data analytical maturity, Articulate a plan for generating organisational value through improved analytical maturity, Identify high-value data analytics problems and use cases with your organization, Leverage existing and yet untapped data sources for your organisation, Evaluate your organisation’s data quality, Identify data summaries and visualizations relevant to your organizational needs and/or analytics goals, Identify factors that are important to consider in predicting a given business outcome, Identify the best analytical model to utilize for a given set of key outcomes and predictors, Evaluate most suitable accuracy metrics for your predictive analytics models, Specify ways to improve the accuracy of a model predicting a given business outcome, Evaluate organizational needs for data science personnel and data analytics infrastructure, Articulate differences between causal and predictive analytics, Identify causal analytics problems relevant to your organisation, Identify suitable cause and effect variables as well as confounding factors that could bias results, Learn about key models and methods to infer causal relationships among key business predictors and outcomes, Identify pertinent AI risks for your organisation and regulations in your industry sector relevant to these risks, Evaluate the current data protection infrastructure of your organisation, Identify factors that could compromise your organisation’s data integrity or model transparency, Each week, participants must complete the corresponding module’s application exercise in the Playbook, There will be optional polls, discussions, crowd-sourced activities, try-it exercises, and industry Q&As that participants are encouraged to engage with, Participants must complete 4 out of the 5 weeks of the Business Analytics Playbook in full, in order to receive their certificate. 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