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BEGIN:VEVENT
DTSTART:20250502T160000Z
DTEND:20250502T180000Z
DTSTAMP:20250502T000000Z
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 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-14212069
URL:https://calendars.library.ucsf.edu/event/14212069
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