Do you have data and want to learn how to make sense of it? This workshop introduces pandas, the powerful Python library for working with structured data. You’ll learn how to read, clean, transform, and analyze datasets using pandas’ intuitive data frames. We’ll cover essential functions for exploring data, selecting and filtering information, and performing common transformations that prepare your data for deeper analysis and visualization. Whether you’re working with spreadsheets, CSVs, or large datasets, pandas provides the foundation for data-driven research in the digital humanities and beyond. No prior experience with pandas is required, though some familiarity with Python will be helpful.