Entropy is a fundamental measure of uncertainty and randomness found in physics, information theory, and everyday data. This workshop provides an intuitive, hands-on approach to understanding entropy through the quantile function—a powerful tool that ranks values within a sample to reveal hidden structures. Moving beyond traditional "blackbox" processing, participants will learn to build practical, nonparametric estimators that do not rely on rigid statistical models. Instead, we use differences between order statistics to analyze data from the smallest to the largest values. Through clear examples and visualizations, we will demonstrate how these abstract ideas become essential tools for extracting structure from noisy and complex signals, particularly in Synthetic Aperture Radar (SAR) imagery.