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DTSTART:20260316T200000Z
DTEND:20260316T210000Z
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SUMMARY:Python Basics (2 of 5): Working with Data
DESCRIPTION:\nPython Basics for Data Analysis Series\n\nThis series of 
 introductory workshops are intended for individuals with little to no 
 familiarity with Python or similar tools that rely on a scripted 
 environment. They are intended as a low barrier entry into the world of 
 research computing through the Python language.\n\n\n\n\n\n\n\n\nWorking 
 with Data (workshop 2 of 5): This session will address importing Excel and 
 comma separated value files into Python for analysis and address initial 
 data exploration. Topics covered include variable naming conventions\, 
 variable assignment\, missing values\, assigning data types to variables\, 
 summaries (e.g.\, quartiles\, categories\, counts)\, and descriptive 
 statistics (e.g.\, range\, length\, variance).\n\nBy the end of the 
 session\, participants should be able to import data stored in tabular 
 format (e.g.\, excel\, csv)\, standardize missing values for subsequent 
 tidying and analysis\, and use a suite of tools to comprehensively describe 
 their data and establish if it meets underlying criteria for subsequent 
 analysis.\n\n\n\n\n\n\n\n\n\nQuestions? Please reach out to the Centre for 
 Scholarly Communication at csc.ok@ubc.ca.\n\nA full schedule of workshops 
 can be found at csc.ok.ubc.ca/workshops/
LOCATION:LIB 111\, Okanagan - Centre for Scholarly Communication 
ORGANIZER;CN="Centre for Scholarly Communication (CSC)":MAILTO:csc.ok@ubc.ca
CATEGORIES:Data
CONTACT;CN="Centre for Scholarly Communication (CSC)":MAILTO:csc.ok@ubc.ca
STATUS:CONFIRMED
UID:LibCal-3973394
URL:https://libcal.library.ubc.ca/event/3973394
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