This course introduces students to data analysis using Microsoft Excel, with an emphasis on developing practical skills for organizing, analyzing, and presenting data. Topics include function and formula development; data filtering, sorting, and extraction strategies; pivot tables; charts; and introductory statistical tools. Students will also explore advanced Excel features, including task automation using macros, AI-assisted support through Microsoft Copilot, and an introduction to Visual Basic for Applications (VBA). Emphasis is placed on applying Excel-based tools to support data-driven decision-making across a variety of professional contexts. No prior experience in data analysis is required. Fall, Spring.