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X-WR-TIMEZONE:America/Los_Angeles
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BEGIN:VEVENT
DTSTART:20260424T160000Z
DTEND:20260424T180000Z
DTSTAMP:20260424T000000Z
SUMMARY:Analyzing COVID Testing Data with Python and SQL
DESCRIPTION:This workshop will teach you how to use SQL and Python to 
 analyze a COVID testing dataset. You’ll begin by using SQL to query and 
 filter data from a database\, and then move on to Python for cleaning\, 
 manipulating\, and visualizing the data. We will also explore how to 
 leverage AI-generated code to streamline and enhance your data analysis 
 workflow. By the end of the session\, you'll be able to combine these tools 
 to extract meaningful insights from the dataset.\n\nNote: This workshop 
 will be offered 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\nAccessibility: UCSF welcomes all participants to our events. 
 If you need a reasonable accommodation to participate in this event because 
 of a disability\, please contact Geoffrey Boushey by emailing 
 geoffrey.boushey@ucsf.edu as soon as possible.\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-16448713
URL:https://calendars.library.ucsf.edu/event/16448713
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