BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260929T102702Z
DTSTART:20261111T130000Z
DTEND:20261111T153000Z
SUMMARY:An introduction to time series analysis and forecasting
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}u8i-mumid0m
 8-tvl3c8
DESCRIPTION:Time series data is everywhere\, from crime statistics to web
  traffic\, and knowing how to work with them means being able to spot tr
 ends\, understand seasonality\, and forecast what happens next. Time ser
 ies analysis and forecasting are among the most widely used quantitative
  techniques in both business and research\, and these skills are increas
 ingly in demand as more of our data arrives stamped with a date and time
 .\n\nFormat:\n\nThis free online workshop will run in two linked parts w
 ith a break in between. Part 1 is a concepts talk and Part 2 is a dedica
 ted hands-on code demo. Attendees are welcome to join either or both.\n\
 nThe session will include:\n\nAn introduction to time series data\, and 
 how it differs from cross-sectional and pooled data.\nThe core component
 s of time series analysis: trend\, seasonality\, cyclic patterns and noi
 se.\nDecomposition and how to check a series for stationarity.\nAn intro
 duction to ARIMA/SARIMA forecasting models.\nA live coding demonstration
  in R\, using publicly available\, police-recorded crime data.\nA Q&A se
 ssion.\nParticipants will have access to all workshop materials\, includ
 ing slide decks and code\, via a GitHub repository\, circulated ahead of
  the session alongside a short glossary of key terms so you can arrive a
 lready comfortable with the vocabulary.\n\nPrerequisites: No formal prer
 equisites are required to attend. However\, those who wish to actively p
 articipate in the coding demonstration should have access to R (and RStu
 dio) and a basic working knowledge of R\, e.g. setting a working directo
 ry\, reading data in\, saving manipulated data under new names\, and run
 ning basic descriptive statistics.\n\nLevel: Beginner to Intermediate\n\
 nTarget Audience: Researchers\, analysts\, and anyone interested in lear
 ning how to forecast time series data\n\nPresenter: Nadia Kennar\, UK Da
 ta Service. Nadia is a Research Associate at the UK Data Service within 
 the Computational Social Science Team (CSS). She has a MRes in Criminolo
 gy and Social Statistics. Nadia enjoys developing engaging webinars and 
 workshops that incorporate live coding and has a particular interest in 
 demonstrating and discussing coding techniques. She is motivated by seei
 ng participants apply these concepts to advance their own research and p
 rofessional work.\n\nThis event will be livestreamed on our UK Data Serv
 ice YouTube channel but the chat will be disabled. By registering and at
 tending the Zoom event you will be able to ask questions and interact.\n
 \nRecordings of UK Data Service events are made available on our YouTube
  channel and\, together with the slides\, on our past events pages soon 
 after the event has taken place.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Online
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