Excel For Decision Making Under Uncertainty Course Jul

Excel For Decision Making Under Uncertainty Course Jul 4.5 out of 5 based on 15 ratings.
 

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The participants will be exposed to a complex decision making scenario under uncertainty and how to deal with such problems using advanced tools and Big Data. A dedicated module on machine learning algorithms will expose the students to the recent advancements in analytics and big data.

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The modeling under inherent uncertainty of input parameters is performed in the model of West Lake, mainly using SPSS Version8.0 linked with Microsoft Excel. 3. Sensitivity analysisIn this section the sensitivity of model results on input parameters is analyzed, and the local sensitivity of model results to model parameters is focused on.

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Learn decision-making tools / Operations Research techniques. Use advanced analytical tools to analyse complex problems under uncertainty. Manage business processes using analytical and management tools. Use analytics in customer requirement analysis, general management, marketing, finance, operations and supply chain management.

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Excel is used extensively to develop a range of financial models to demonstrate technique application. The course will further explore the incorporation of risk and uncertainty into the decision-making process by using more advanced Excel, and will also explore scenario modelling and sensitivity analysis using Excel.

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