ISOM-839 Prescriptive Analytics: Modeling and Optimization
This course introduces you to prescriptive analytics that provides organizations with optimal decisions to achieve key business objectives such as customer satisfaction, profits, and cost savings. You will learn to model a range of use cases spanning strategic planning, operational and tactical decisions in operations, supply chain, marketing, and finance. You will also learn how to use optimization technology to solve complex decisions with many decision variables, constraints, and tradeoffs in these use cases. We will cover linear optimization, non-linear optimization, integer optimization, network optimization, Markov chains, deep learning, and reinforcement learning. By the end of this course, you will have confidence and understanding of how to model and obtain solutions to complex decisions in business analytics.
Prerequisite
Student has completed or is in process of completing any of the following course(s) ISOM 631 - Data Analytics with Python, ISOM 730 - Python for Business Analytics