Predictive and Prescriptive Analytics: Core Concepts and Strategy

Modern organizations rely on data to anticipate future outcomes and determine the best actions to take. This text-based guide explains how predictive and prescriptive analytics work together to transform raw figures into strategic insights. You will explore the analytical spectrum from descriptive summaries to automated decision modeling, learning how modern algorithms forecast trends and recommend optimal solutions. What you'll learn: - Understand foundational definitions, core terminology, and the analytics maturity spectrum - Compare predictive modeling techniques with prescriptive optimization workflows - Identify common statistical algorithms, machine learning models, and simulation methods - Evaluate data requirements, data quality considerations, and model validation techniques - Apply decision intelligence frameworks to translate analytical outputs into concrete business strategies - Practice assessing real-world business scenarios to choose the right analytical approach The course begins with clear foundational concepts and vocabulary before guiding you through structured frameworks and practical case scenarios. Designed specifically for beginners, no prior background in statistics or advanced programming is required to get started today.