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DTSTAMP:20260614T172819Z
UID:aa5cd9f2-20c9-4ccb-b7eb-804aec6cf9ab
DTSTART:20160512T090000Z
DTEND:20160513T000000Z
DESCRIPTION:Data Carpentry workshops are for any researcher who has data th
 ey want to analyze\, and no prior computational experience is required. Th
 is hands-on workshop teaches basic concepts\, skills and tools for working
  more effectively with data.\n\nWe will cover Introduction to R and R stud
 io\, Data exploration and transformation (dplyr)\, Data analysis and visua
 lization in R (ggplot2) and Version control (git). Participants should bri
 ng their laptops and plan to participate actively. By the end of the works
 hop learners should be able to more effectively manage and analyze data an
 d be able to apply the tools and approaches directly to their ongoing rese
 arch. To register\, please visit this registration form.\n\nWho: The cours
 e is aimed at graduate students and other researchers in the life sciences
 . You don't need any programming experience to attend\, just a desire to l
 earn!\n\nWhere: Red 9 Building\, Charles Darwin University\, Casuarina NT 
 0810. Get directions with OpenStreetMap or Google Maps.\n\nRequirements: P
 articipants must bring a laptop with a few specific software packages inst
 alled (listed below). They are also required to abide by Data Carpentry's 
 Code of Conduct.
SUMMARY:COMBINE: A Data Carpentry Workshop
URL;VALUE=URI:http://combine-australia.github.io/2016-05-12-CharlesDarwinUn
 i/
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