What will you in Operations Analytics Course
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Understand how to model future demand uncertainties and predict outcomes of competing policy choices.
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Develop optimization models to identify the best decisions in settings with low uncertainty.
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Apply simulation models to evaluate complex business decisions in uncertain settings.
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Utilize decision trees to evaluate decisions made under uncertainty.
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Gain insights into real-world business challenges and learn methods to tackle these challenges quantitatively.
Program Overview
1. Introduction, Descriptive and Predictive Analytics
⏱ Duration: 1 week
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Introduction to the Newsvendor problem, a fundamental operations problem of matching supply with demand in uncertain settings.
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Foundations of descriptive analytics for operations.
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Use of historical demand data to build forecasts for future demand.
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Introduction to underlying analytic concepts, such as random variables, descriptive statistics, common forecasting tools, and measures for judging the quality of forecasts.
2. Prescriptive Analytics, Low Uncertainty
⏱ Duration: 1 week
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Building optimization models and applying them to specific business challenges.
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Use of algebraic formulations to express optimization problems.
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Conversion of algebraic models into spreadsheet formats.
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Utilization of spreadsheet Solvers as tools for identifying the best course of action.
3. Predictive Analytics, Risk
⏱ Duration: 1 week
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Building and interpreting simulation models to evaluate complex business decisions in uncertain settings.
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Introduction to common measures of risk and reward.
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Use of simulation to estimate quantities and interpretation of simulation results.
4. Prescriptive Analytics, High Uncertainty
⏱ Duration: 1 week
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Introduction to decision trees for evaluating decisions made under uncertainty.
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Integration of optimization, simulation, and decision trees to solve complex business problems with high degrees of uncertainty.
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Application of the Newsvendor problem using simulation and optimization frameworks.
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Job Outlook
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High demand for operations analytics skills across various industries.
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Professionals with these skills are more likely to be promoted and take on leadership roles.
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Beneficial for entrepreneurs managing diverse responsibilities.
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Freelancers and remote workers can improve workflow and output consistency
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Related Reading
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What Is Operations Management? – Explore the principles and practices that improve efficiency, quality, and overall organizational performance.