What you will learn

• Formulate and solve linear, integer and non-linear optimisation models using Excel.

• Apply network models, sensitivity analysis and optimisation techniques to real-world business problems.

• Use Naïve Bayes, k-nearest neighbours, decision trees and neural networks for data-driven decision-making.