The objective of this course is to provide students with an overview of Frontline Solvers three introductory courses, Optimization 101, Simulation 101, and Data Mining 101, and their applications using Frontline Solver's Analytic Solver Basic software.
Students will learn how to model an optimization model in Excel
Students will be able to evaluate results from an optimization model and use sensitivity analysis
Students will learn about the basic components of a simulation model
Students will learn how to read a tornado chart
Students will learn the steps required in a typical data mining process
Students will learn about different data types
Students will learn how to bring data into Excel
Students can download Analytic Solver Basic for desktop from www.Solver.com or use the cloud-based version of Analytic Solver in Online Excel.
Nicole Steidel has a Masters degree in Quantitative Analysis and an MBA from the University of Cincinnati and has been with Frontline Systems for over 15 years. She served for over 4 years on the technical support team and then has moved on to Product Documentation and Development. During her tenure at Frontline, she has had the opportunity to assist many customers by answering questions concerning Solver products or assisting them with their own model creation.
Dr. Sima Maleki works as consulting lead and analytics modeling specialist for Frontline Systems. As part of her work, Sima helps companies around the world effectively use analytics to leverage business opportunities and make better decisions. She also regularly teaches live educational webinars on data mining, optimization, and simulation and risk analysis (www.solver.com/webinars).
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