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DTSTART:20260408T200000Z
DTEND:20260408T213000Z
DTSTAMP:20260408T000000Z
SUMMARY:Intro to R: Data Analysis & Visualization (4-Week Flipped Series)
DESCRIPTION:\n\nIntro to R: Reproducible Data Science Ready to move beyond 
 spreadsheets? Join us for a streamlined\, hands-on introduction to R using 
 the world-renowned Software Carpentry curriculum.\n\nHow it Works: This is 
 a "Flipped" workshop designed for busy students and 
 researchers.\n\n\n	\n	Watch: You’ll receive short\, targeted video 
 lessons to watch on your own time\n	\n	\n	Work: We meet once a week for a 
 90-minute Live Challenge Lab. No lecturing! We spend the entire time 
 live-coding\, solving data challenges\, and troubleshooting errors 
 together.\n	\n\n\nBy the end of 4 weeks\, you will be able 
 to:\n\n\n	\n	Manage data projects reproducibly in RStudio.\n	\n	\n	Clean 
 and "tidy" messy datasets using dplyr and tidyr.\n	\n	\n	Create 
 publication-quality visualizations with ggplot2.\n	\n	\n	Automate your 
 analysis with R Markdown.\n	\n\n\n\n\n\nPrerequisites & Setup\n\n\n	\n	No 
 prior programming experience is required. Participants must have R and 
 RStudio installed on their laptops prior to the first session. Instructions 
 will be sent upon registration.\n	\n	\n	Commitment: By registering\, you 
 are committing to attending all 4 sessions and completing the weekly 
 pre-work videos.\n	\n\n\n
LOCATION:Knight 267B\, Knight Library
ORGANIZER;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
CATEGORIES:R, Workshop
CONTACT;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-16532179
URL:https://uoregon.libcal.com/event/16532179
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BEGIN:VEVENT
DTSTART:20260415T200000Z
DTEND:20260415T213000Z
DTSTAMP:20260415T000000Z
SUMMARY:Intro to R: Data Analysis & Visualization (4-Week Flipped Series)
DESCRIPTION:\n\nIntro to R: Reproducible Data Science Ready to move beyond 
 spreadsheets? Join us for a streamlined\, hands-on introduction to R using 
 the world-renowned Software Carpentry curriculum.\n\nHow it Works: This is 
 a "Flipped" workshop designed for busy students and 
 researchers.\n\n\n	\n	Watch: You’ll receive short\, targeted video 
 lessons to watch on your own time\n	\n	\n	Work: We meet once a week for a 
 90-minute Live Challenge Lab. No lecturing! We spend the entire time 
 live-coding\, solving data challenges\, and troubleshooting errors 
 together.\n	\n\n\nBy the end of 4 weeks\, you will be able 
 to:\n\n\n	\n	Manage data projects reproducibly in RStudio.\n	\n	\n	Clean 
 and "tidy" messy datasets using dplyr and tidyr.\n	\n	\n	Create 
 publication-quality visualizations with ggplot2.\n	\n	\n	Automate your 
 analysis with R Markdown.\n	\n\n\n\n\n\nPrerequisites & Setup\n\n\n	\n	No 
 prior programming experience is required. Participants must have R and 
 RStudio installed on their laptops prior to the first session. Instructions 
 will be sent upon registration.\n	\n	\n	Commitment: By registering\, you 
 are committing to attending all 4 sessions and completing the weekly 
 pre-work videos.\n	\n\n\n
LOCATION:Knight 267B\, Knight Library
ORGANIZER;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
CATEGORIES:R, Workshop
CONTACT;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-16532180
URL:https://uoregon.libcal.com/event/16532180
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BEGIN:VEVENT
DTSTART:20260422T200000Z
DTEND:20260422T213000Z
DTSTAMP:20260422T000000Z
SUMMARY:Intro to R: Data Analysis & Visualization (4-Week Flipped Series)
DESCRIPTION:\n\nIntro to R: Reproducible Data Science Ready to move beyond 
 spreadsheets? Join us for a streamlined\, hands-on introduction to R using 
 the world-renowned Software Carpentry curriculum.\n\nHow it Works: This is 
 a "Flipped" workshop designed for busy students and 
 researchers.\n\n\n	\n	Watch: You’ll receive short\, targeted video 
 lessons to watch on your own time\n	\n	\n	Work: We meet once a week for a 
 90-minute Live Challenge Lab. No lecturing! We spend the entire time 
 live-coding\, solving data challenges\, and troubleshooting errors 
 together.\n	\n\n\nBy the end of 4 weeks\, you will be able 
 to:\n\n\n	\n	Manage data projects reproducibly in RStudio.\n	\n	\n	Clean 
 and "tidy" messy datasets using dplyr and tidyr.\n	\n	\n	Create 
 publication-quality visualizations with ggplot2.\n	\n	\n	Automate your 
 analysis with R Markdown.\n	\n\n\n\n\n\nPrerequisites & Setup\n\n\n	\n	No 
 prior programming experience is required. Participants must have R and 
 RStudio installed on their laptops prior to the first session. Instructions 
 will be sent upon registration.\n	\n	\n	Commitment: By registering\, you 
 are committing to attending all 4 sessions and completing the weekly 
 pre-work videos.\n	\n\n\n
LOCATION:Knight 267B\, Knight Library
ORGANIZER;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
CATEGORIES:R, Workshop
CONTACT;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-16532181
URL:https://uoregon.libcal.com/event/16532181
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BEGIN:VEVENT
DTSTART:20260429T200000Z
DTEND:20260429T213000Z
DTSTAMP:20260429T000000Z
SUMMARY:Intro to R: Data Analysis & Visualization (4-Week Flipped Series)
DESCRIPTION:\n\nIntro to R: Reproducible Data Science Ready to move beyond 
 spreadsheets? Join us for a streamlined\, hands-on introduction to R using 
 the world-renowned Software Carpentry curriculum.\n\nHow it Works: This is 
 a "Flipped" workshop designed for busy students and 
 researchers.\n\n\n	\n	Watch: You’ll receive short\, targeted video 
 lessons to watch on your own time\n	\n	\n	Work: We meet once a week for a 
 90-minute Live Challenge Lab. No lecturing! We spend the entire time 
 live-coding\, solving data challenges\, and troubleshooting errors 
 together.\n	\n\n\nBy the end of 4 weeks\, you will be able 
 to:\n\n\n	\n	Manage data projects reproducibly in RStudio.\n	\n	\n	Clean 
 and "tidy" messy datasets using dplyr and tidyr.\n	\n	\n	Create 
 publication-quality visualizations with ggplot2.\n	\n	\n	Automate your 
 analysis with R Markdown.\n	\n\n\n\n\n\nPrerequisites & Setup\n\n\n	\n	No 
 prior programming experience is required. Participants must have R and 
 RStudio installed on their laptops prior to the first session. Instructions 
 will be sent upon registration.\n	\n	\n	Commitment: By registering\, you 
 are committing to attending all 4 sessions and completing the weekly 
 pre-work videos.\n	\n\n\n
LOCATION:Knight 267B\, Knight Library
ORGANIZER;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
CATEGORIES:R, Workshop
CONTACT;CN="Cameron Mulder":MAILTO:cmulder7@uoregon.edu
STATUS:CONFIRMED
UID:LibCal-16532182
URL:https://uoregon.libcal.com/event/16532182
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