Emerging Technologies & Digital Business

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Turn complex business problems into better, data-driven decisions with Prescriptive Analytics. Designed for learners with a background in business analytics and Excel, this advanced course helps you move beyond understanding what happened or what might happen to determine what should be done. You’ll learn how to formulate and solve real-world optimisation problems using linear programming, integer programming, network models and non-linear optimisation. Through practical business applications, you’ll develop the skills to identify decision variables, work with constraints, evaluate alternatives and select effective solutions using Excel. The course also introduces key machine learning techniques, including Naïve Bayes classification, k-nearest neighbours, decision trees and neural networks, helping you apply analytical methods to business decision-making. Whether you work in business analytics, operations, marketing, finance or supply chain management, you’ll gain practical experience applying mathematical models and analytical techniques to solve complex problems. Build the skills to translate data into actionable recommendations and make smarter, evidence-based business decisions.