BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Data Science Initiative - ECPv6.3.7//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Data Science Initiative
X-ORIGINAL-URL:https://datascience.uci.edu
X-WR-CALDESC:Events for Data Science Initiative
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20170312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20171105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170512T090000
DTEND;TZID=America/Los_Angeles:20170512T170000
DTSTAMP:20260405T093840
CREATED:20170407T120351Z
LAST-MODIFIED:20170407T120351Z
UID:2157-1494579600-1494608400@datascience.uci.edu
SUMMARY:Topics in R
DESCRIPTION:This course builds on our Introduction to R by teaching advanced visualization and data tidying.\n \nIn this course\, you will cover advanced visualization including ggplot and R Shiny. In addition to visualizations\, principles of tidy data and reporting will be discussed. \nDate: May 12\, 2017 \nTime:9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructor:  Colleen Nell\, Dustin Pluta\, UC Irvine \nPre-requisites: 1) familiarity with basic statistical concepts\, and 2) intermediate R programming knowledge. For the tutorial\, bring a laptop with R downloaded and installed and WiFi.
URL:https://datascience.uci.edu/event/topics-in-r-2/
CATEGORIES:Data Science Event
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR