Detail kurzu

Optimization Concepts for Data Science

EDU Trainings s.r.o.

Popis kurzu

This course focuses on linear, nonlinear, and efficiency optimization concepts. You learn how to formulate optimization problems and how to make their formulations efficient by using index sets and arrays. The demonstrations in the course include examples of data envelopment analysis and portfolio optimization. The OPTMODEL procedure is used to solve optimization problems that reinforce concepts introduced in the course. The e-learning format of this course includes Virtual Lab time to practice.

Obsah kurzu

Introduction to Mathematical OptimizationIntroduction.A simple example.The OPTMODEL procedure.Linear Programming Problems: Basic IdeasIntroduction to linear programming.Formulating and solving linear programming problems using the OPTMODEL procedure.Using index sets and arrays in the OPTMODEL procedure.Dual values and reduced costs in the simplex method (self-study).Applied data envelopment analysis.Reading SAS data sets (self-study).Nonlinear Programming ProblemsIntroduction to nonlinear programming.Solving nonlinear programming problems using the OPTMODEL procedure.

Cílová skupina

Those who want to develop the advanced knowledge and skills necessary to work as a data scientist, especially those with a strong background in applied mathematics
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