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BEGIN:VEVENT
DTSTART:20250411T160000Z
DTEND:20250411T180000Z
DTSTAMP:20250411T000000Z
SUMMARY:Intro to Python: Tabular Data and Visualization
DESCRIPTION:This workshop will introduce participants to the fundamentals 
 of data analysis using Python\, with a focus on the Pandas library for 
 handling tabular data. Attendees will learn how to import\, clean\, and 
 manipulate datasets efficiently\, as well as perform common operations such 
 as filtering\, aggregating\, and merging data. The session will also cover 
 essential techniques for visualizing data using libraries like Matplotlib 
 and Seaborn\, enabling participants to create clear and informative charts. 
 By the end of the workshop\, participants will have a solid understanding 
 of how to process\, analyze\, and visualize tabular data in 
 Python.\n\nNote: This workshop will be offered in person at the UCSF FAMRI 
 Library at Mission Bay and online through UCSF Zoom. You will receive an 
 email from LibCal with room information and Zoom link prior to the start of 
 the workshop. \n\n \n\nWorkshop Series: Data and Document Analysis with 
 Python\, SQL\, and AI\n\nThis series is designed for researchers\, staff\, 
 and students who want to learn Python from the ground up\, focusing on data 
 analysis\, document analysis\, and AI-based research. Throughout the 
 workshops\, we’ll dive into various data types—including numerical 
 data\, health data\, text\, and images/videos—and explore analysis 
 techniques like regression\, classification\, and sentiment analysis. 
 We’ll put a particular focus on text analysis\, especially analyzing 
 documents from our industry document library.\n\nAs programming evolves\, 
 so does the way we learn it. While we’ll introduce AI-assisted 
 programming earlier in the series than in past workshop series\, we’ll 
 still start with the basics. The early workshops (Intro to Python Parts 1 & 
 2 and Intro to SQL) will use AI sparingly. As the series moves forward\, 
 we’ll dive into topics like web APIs\, text analysis\, natural language 
 processing\, machine learning\, regression\, document analysis\, and AI 
 system interaction\, with more AI-driven techniques along the way.\n \n\n
LOCATION:Virtual\, Online
ORGANIZER;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
CATEGORIES:Data Science, Programming
CONTACT;CN="Geoffrey Boushey":MAILTO:Geoffrey.Boushey@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-14211809
URL:https://calendars.library.ucsf.edu/event/14211809
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