Working with data in Python: data import, export, and cleaning

This practical webinar introduces how to work with common data formats in Python, including text files, CSV, Excel spreadsheets, and JSON. Participants will learn how to import data from local files as well as from online sources using API requests (e.g., publicly available crime datasets). In addition to data import and export, the session covers essential data manipulation techniques using tabular data. This includes renaming columns, adding or removing variables, filtering datasets, replacing values, and merging datasets. By the end of the session, participants will be able to take raw, messy data from multiple sources and transform it into a clean, structured dataset ready for analysis or visualization. No advanced Python experience is required, although familiarity with basic Python concepts will be helpful.

Apr 29, 2026

International Association of Crime Analysts