(eCornell) Prescriptive Analytics in R
Training Provider: GENASHTIM
Course Reference: TGS-2023038430
S$1,000
About This Course
In this course, you will work through the development and implementation of Monte Carlo simulations. You'll become familiar with the R functions most commonly used for this purpose. You'll also translate optimization problems that have been defined outside R to a form that supports computational solutions in R. You'll work with both linear and nonlinear solution methods. It is recommended that students have a background in data analytics especially with optimization, modeling, and monte carlo simulations, in addition to a familiarity with programming syntax. The course is provided by eCornell in partnership with Genashtim.
What You'll Learn
Simulate future outcomes for an index constructed from multiple sources of data
Make a decision based on a simulation model
Reduce decision uncertainty by visualizing and interpreting relative importance of a large number of independent variables
Obtain an optimized result in R
Interpret shadow prices from an R-based linear optimization
Interpret shadow prices from an R-based quadratic (nonlinear) optimization
Obtain an optimized result for a nonlinear, non-quadratic model
Make a decision based on a simulation model
Reduce decision uncertainty by visualizing and interpreting relative importance of a large number of independent variables
Obtain an optimized result in R
Interpret shadow prices from an R-based linear optimization
Interpret shadow prices from an R-based quadratic (nonlinear) optimization
Obtain an optimized result for a nonlinear, non-quadratic model
Course Details
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