Engage in an interactive lecture on data analysis techniques relevant to the Electron-Ion Collider (EIC) research. Explore advanced methods for processing and interpreting experimental data collected from high-energy particle collisions. Learn how to extract meaningful information about hadron structure, quark and gluon distributions, and other key aspects of nuclear physics. Participate in hands-on exercises to apply statistical tools and data visualization techniques specific to EIC experiments. Gain insights into handling large datasets, identifying patterns, and drawing conclusions from complex particle physics data. Enhance your skills in data-driven research approaches crucial for advancing our understanding of proton and neutron structure at unprecedented levels of detail.