Excel for Physical Sciences: Data Analysis and Scientific Modeling

Physical scientists, researchers, and students face unique challenges when processing experimental data, fitting complex curves, and modeling physical phenomena. Traditional spreadsheet guides often ignore the specific mathematical and scientific tools needed for laboratory work. This course bridges that gap, teaching you how to leverage Excel specifically for the physical sciences. You will transform raw experimental measurements into publication-ready data analysis, mastering formulas, regression, and error analysis along the way. What you'll learn: - Understand foundational Excel structures, scientific notation, and mathematical operators for physical calculations - Apply linear and non-linear regression techniques to fit experimental data points to physical equations - Analyze experimental error and calculate standard deviation, uncertainty, and propagation of errors - Create precise scientific charts, scatter plots, trendlines, and residual plots to visualize physical laws - Use solver and goal seek tools to solve complex thermodynamic, chemical, and physical equations numerically - Practice modern data organizing techniques using dynamic arrays and clean data-formatting structures Starting with basic spreadsheet navigation and scientific formatting, this text-based course guides you step-by-step through advanced data fitting, numerical methods, and error analysis. You will read clear explanations, study formatted formulas, and work through practical scientific scenarios. This course is designed for undergraduate students, laboratory technicians, and researchers in physics, chemistry, and earth sciences who are new to Excel or want to specialize their spreadsheet skills for scientific workflows. No prior programming or advanced spreadsheet experience is required. Equip yourself with the essential data analysis skills needed for modern scientific research.