NUS-ISS offers social media analytics course to help you interpret the social media data gathered using social media monitoring tools and make sense of these data in order to take effective actions. For every 30 minutes, you study, take a short 10-15 minute break to recharge. NUS MSBA Application Checklist - AY2021/2022 Program Description. 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. Operations managers champion efficiency and the competitive strategy. He serves on the editorial boards of Management Science, Mathematics of Operations Research, Journal of Risk, Production and Operations Management, and Journal of Energy Markets. Professor Keppo teaches risk management and analytics courses, and directs analytics executive education programmes at NUS Business School. 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. It is very much essential and compulsory to select anything by checking deeply. reach their goals and pursue their dreams, Email: For organisational goals to be met, analytical maturity must be improved through the continual assessment of data. By understanding these analytics, you are taking a critical first step toward developing a strategic advantage and competitive edge in the market. Here are some specific challenges you can better address after earning your business and data analytics certificate: *This programme will be delivered via recorded video lectures by faculty. 4-6 hours per week. With big data technologies becoming more affordable and accessible, more companies are innovating how business is done. Working with Emeritus gives NUS Business School the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality of NUS Business School. 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