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DTSTART;VALUE=DATE:20240528
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SUMMARY:Introductory Software Carpentries Workshop: Unix & R for Reproducible Data Analysis - Workshop #2
DESCRIPTION:Tuesday May 28 – Friday May 31\, 2024 –> online only\n8:30 AM -12:30 PM each day\nZoom\nRegister for the online workshop\nMaximum is 25 participants \nWhat You’ll Learn:\nCoding essentials: Learners will gain confidence in using the Unix shell and command-line to navigate their file structure and work with files on their computer\, culminating in writing custom scripts to automate repetitive analyses that will save you time.  \nData manipulation\, analysis\, and visualization in R: Learners will work with tabular data and other core data structures\, use conditionals and loops\, write custom functions\, and learn to create publication-quality graphics to communicate your research findings effectively. This workshop also introduces learners to RStudio and strategies for getting help. \nTwo Software Carpentries instructors and helpers will be available to address your questions throughout the each workshop. \nWho Should Attend:\nResearchers from various fields with limited experience in command line computing  \nWhy Attend:\nIncrease the efficiency and accuracy of data analysis\nImprove the reproducibility of your research\nTake your first steps in analyzing big data\nEnhance your ability to collaborate with programmers and data scientists \nCost:\nThe workshop is free for participants \nRequirements:\nNo prior coding experience is required\nBring a laptop that can load required software (Mac or PC) \nContact Information:\nFor inquiries or additional information\, please contact Heather Driscoll (hdriscol@norwich.edu) \nRegister today to reserve a spot in one of the workshops! \nVBRN Data Science Core
URL:https://vbrn.org/event/introductory-software-carpentries-workshop-unix-r-for-reproducible-data-analysis-workshop-2/
CATEGORIES:Seminar,VBRN Events
ORGANIZER;CN="VBRN":MAILTO:vbrn@uvm.edu
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