Business Problem Solving and Optimization Modeling

Every successful organization relies on data-driven decisions to navigate complex operational challenges and resource constraints. This course provides a structured approach to identifying, classifying, and solving business problems through the power of logical modeling. You will progress from understanding core business variables to constructing models that reveal the most efficient paths forward. By the end of this course, you will be able to translate abstract business hurdles into actionable mathematical expressions that drive strategic results. What you'll learn: - Understand foundational concepts of business data classification and model structure - Build optimization models using Solver to address resource allocation and logistics - Create logical expressions that represent real-world constraints and objectives - Apply sensitivity analysis to understand how changes in variables impact your final results - Practice scenario planning to evaluate different business outcomes and risks - Master the process of translating complex business narratives into structured data models The course begins with essential terminology and the logic of problem-solving before moving into the practical application of building and refining models. This text-based program is designed specifically for beginners with no prior modeling experience. Start building better business solutions today through structured analytical thinking.