Introduction to Data Analysis with Python

This six hour Python workshop uses hands-on coding to introduce programming for library and information workers with little or no previous programming experience. The lesson utilizes open datasets to model reproducible workflows for data analysis, with a focus on helping learners apply and work with fundamental Python concepts such as data types, functions, loops, and libraries. The open-source Library Carpentry Python lesson that we’ll use to teach this workshop is currently undergoing a major redesign, and will use the JupyterLab environment along with Pandas dataframes to explore and generate descriptive statistics from a quantitative dataset of library usage data. The workshop provides a basic introduction for those working with metadata, citations, and quantitative data, and serves as a great first step for folks hoping to continue to build skills to access, clean, analyze, and visualize data with Python.