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version:2.0
prodid:-//springshare//libcal//en
calscale:gregorian
method:publish
x-wr-timezone:america/thunder_bay
x-published-ttl:pt15m
begin:vevent
dtstart:20220311t153000z
dtend:20220311t163000z
dtstamp:20220311t000000z
summary:where to start: data cleaning
description:data cleaning\, or the work of making a dataset ready for 
 analysis\, is a key component of learning to use data well (in fact\, the 
 adage goes that 80% of the work of a data professional is data cleaning!). 
 \n\nthis workshop will approach data cleaning in two sections: 1) we will 
 first discuss what motivates researchers to clean their data\, that is\, we 
 will discuss some practical circumstances that require data cleaning\, and 
 2) we will then compare tools for learning how to clean data\, including 
 applications\, software\, code languages and instructional pathways. tools 
 and resources discussed include: open refine\, tableau prep\, python\, 
 moocs\, and free code camp. \n\nthis workshop is a part of the “where to 
 start” data workshop series. this means that the point of the session is 
 not to deliver a step-by-step tutorial. instead\, we aim to help you to 
 identify the best resources to begin a sustainable\, practical journey to 
 the form of data literacy that best suits your needs. each workshop is a 
 stand-alone experience\, though they are offered in an intentional 
 sequence. \n\n
organizer;cn="alexis paulusma":mailto:alexis.paulusma@lakeheadu.ca
categories:library
contact;cn="alexis paulusma":mailto:alexis.paulusma@lakeheadu.ca
status:confirmed
uid:libcal-3663965
url:https://libcal.lakeheadu.ca/event/3663965
x-microsoft-cdo-busystatus:busy
begin:valarm
trigger:-pt15m
action:display
description:reminder
end:valarm
end:vevent

end:vcalendar