UCSF Library Data Science is pleased to offer a series of ten Friday workshops, April 4 – June 13, 2025, for University of California researchers, staff, and students who want to learn Python for real-world data and document analysis.

We will start with foundational Python programming concepts and advance to more complex topics, including data analysis, document analysis, and artificial intelligence (AI)-based research. Throughout the workshops, we will dive into various data types—including numerical data, health data, text, and images/videos—and explore analysis techniques like regression, classification, and sentiment analysis. The end of the series will focus on text analysis, especially analyzing documents from the UCSF Industry Document Library.

The focus of the series is to help participants build practical skills. Sessions will involve a lot of hands-on coding while keeping lectures and theory to a minimum.

Workshop schedule

Registration is required for each workshop, and you can sign up for any sessions that interest to you. The workshops are offered via Zoom and in person at the UCSF FAMRI Library at Mission Bay. Registrants will receive an email with room details and the Zoom link prior.

• Friday, April 4, 2025, 9 – 11 a.m.Intro to Python: Variables, Lists, and Control Flow

• Friday, April 11, 2025, 9 – 11 a.m.Intro to Python: Pandas and Data Visualization

• Friday, April 18, 2025, 9 – 11 a.m.Intro to SQL for Data Analysis

• Friday, May 2, 2025, 9 – 11 a.m.Analyzing COVID Testing Data with Python and SQL

• Friday, May 9, 2025, 9 – 11 a.m.Interacting with APIs in Python: Using the Industry Documents Library

• Friday, May 16, 2025, 9 – 11 a.m.Machine Learning with Python: Feature Importance and Random Forests

• Friday, May 23, 2025, 9 – 11 a.m.Python Background for Text Analysis and NLP

• Friday, May 30, 2025, 9 – 11 a.m.Machine Learning for Document Classification and Sentiment Analysis

• Friday, June 6, 2025, 9 – 11 a.m.Pre-Trained Open Source Tools for Document Classification & Sentiment Analysis

• Friday, June 13, 2025, 9 – 11 a.m.Image, Audio, and Video Transcription and Analysis with Python