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DTSTART:20240320T150000Z
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SUMMARY:Data Exploration with Python and SQL in Redivis\, Part 2
DESCRIPTION:\n\nRedivis\, a powerful platform for collaborative data 
 science\, facilitates seamless data sharing and collaboration. In this 
 two-part\, hands-on session\, you'll learn how to leverage Redivis to 
 access\, manipulate\, and analyze datasets with the flexibility of Python 
 and the power of SQL. \n\nThis is part 1 of a two-part workshop\; please 
 try to attend both sessions. \n\nPart 1\n\n\n	Explore the unique features 
 of Redivis and understand how it streamlines the data collaboration 
 process. Learn how to create and navigate datasets and projects.\n	Learn 
 the fundamentals of SQL\, including how to craft SQL queries to filter\, 
 aggregate\, and analyze data efficiently.\n\n\nPart 2\n\n\n	Learn how to 
 utilize Python within Redivis to visualize data and streamline your 
 workflow. \n	Learn how to collaborate within Redivis\, sharing your 
 analyses and insights with team members. Explore the platform's 
 collaborative features that enhance teamwork in data-driven 
 projects.\n\n\n\n\n
LOCATION:Virtual Workshop
ORGANIZER;CN="Kristen Scotti":MAILTO:kscotti@andrew.cmu.edu
CATEGORIES:Information & Data Literacy CC, Open Science, Working With Data and Code
CONTACT;CN="Kristen Scotti":MAILTO:kscotti@andrew.cmu.edu
STATUS:CONFIRMED
UID:LibCal-11740329
URL:https://cmu.libcal.com/event/11740329
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