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Course Description

Sometimes the problem you need to solve involves amounts of data or numbers of decisions that go well beyond the capabilities of spreadsheets. You can work around these limitations by replicating spreadsheet methods of simulation and optimization in the script-based programming environment in R. The use of R carries the benefits of flexibility, automation, and expanded set of tools and algorithms.

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.

Faculty Author

Chris Anderson

Benefits to the Learner

  • 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

Target Audience

  • Analysts
  • Developers
  • Data scientists
  • Functional managers
  • Consultants
  • Any professional that uses data to make business decisions

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in

Type
3 week
Dates
Sep 16, 2020 to Oct 06, 2020
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Oct 28, 2020 to Nov 17, 2020
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Dec 09, 2020 to Dec 29, 2020
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Jan 20, 2021 to Feb 09, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Mar 03, 2021 to Mar 23, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Apr 14, 2021 to May 04, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
May 26, 2021 to Jun 15, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Jul 07, 2021 to Jul 27, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Aug 18, 2021 to Sep 07, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Sep 29, 2021 to Oct 19, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Nov 10, 2021 to Nov 30, 2021
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
Type
3 week
Dates
Dec 22, 2021 to Jan 11, 2022
Total Number of Hours
24.0
Course Fee(s)
Standard Price $1,380.00
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