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Designed for learners who want to develop or refresh analytical skills for data analysis, this module provides instruction on interpreting simulation results and making effective design and business decisions. The module presents statistical foundations such as distributions and probability, hypothesis testing, and confidence intervals. It also covers applications and decision-making, including value/objective functions and optimization, simulation (including Monte Carlo), and decision trees.
This asynchronous, instructor-facilitated module is expected to require 10-15 hours of active participation and is available for three weeks. Learners will watch short videos, read materials provided, participate in guided discussions, and complete online quizzes and other assignments. The instructor will participate in the discussions and provide feedback on assignments. Assignments will have specific due dates. A certificate of satisfactory completion will be awarded to each learner who receives a score of at least 80% on all required assignments. Learners are encouraged and expected to participate in discussions and other class activities regularly.
Registration in this course is subject to the Purdue University Online Non-Credit Policies.
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