Workshop Description: This comprehensive tutorial introduces participants to the analysis of stellar streams using data from the Dark Energy Spectroscopic Instrument (DESI) Data Release 1. Stellar streams are the fossil remnants of disrupted satellite galaxies and globular clusters, serving as powerful probes of dark matter and galactic evolution. This hands-on workshop combines theoretical foundations with practical Python implementations, guiding participants through the complete workflow of stellar stream analysis—from data acquisition and preprocessing to advanced kinematic characterization and dynamical modeling. Participants will learn to work with large astronomical datasets, apply machine learning techniques for stellar classification, and perform Bayesian analysis for stream membership determination. The tutorial includes interactive Jupyter notebooks covering Gaia data integration, Hertzsprung-Russell diagram analysis, orbital dynamics, and visualization techniques specifically tailored for DESI survey data. By the end of this workshop, participants will have gained practical experience with cutting-edge astronomical data analysis tools and techniques used in modern galactic archaeology research.