Excel Business Analytics: Optimization and Decision Modeling

Every business decision carries risk, but you can minimize uncertainty by using data to find the most efficient solutions. Excel is a powerful tool for modeling these scenarios and finding the optimal path forward. This written course guides you through translating real-world business challenges into structured mathematical models directly inside Excel. You will transition from basic spreadsheet usage to performing advanced optimization and decision analytics, enabling you to confidently recommend data-backed strategies for resource allocation, scheduling, and logistics. What you'll learn: - Understand the foundational principles of business analytics, decision modeling, and linear programming - Formulate optimization models by defining decision variables, objective functions, and constraints - Configure and run Excel Solver to find optimal solutions for complex business scenarios - Apply modern Excel dynamic arrays and advanced formulas to clean and prepare your analytical data - Interpret sensitivity reports to understand how changes in constraints impact your business outcomes - Practice building decision-making models for inventory management, workforce scheduling, and product mix You will start with core terminology and the fundamentals of decision analytics before moving step-by-step through practical modeling scenarios, all explained through clear written instructions and structured text exercises. This course is designed for aspiring business analysts, managers, and professionals who want to make data-driven decisions using Excel, with no prior modeling experience required. Start reading today to unlock the analytical power of Excel and optimize your business decisions.