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CALSCALE:GREGORIAN
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DTSTAMP:20260808T234217Z
UID:ecaba6ec-fdbf-4cbe-ade7-dc76199388b3
DTSTART:20230712T083000Z
DTEND:20230714T160000Z
DESCRIPTION:PLEASE BE AWARE: This event is run online\, if you wish to book
  for the in-person version\, please click [here.](https://training.csx.cam
 .ac.uk/bioinformatics/event/4690306)\n\nThis [award winning](https://www.c
 ctl.cam.ac.uk/teaching-prizes/tel-prize/2020) course is intended to provid
 e a strong foundation in practical statistics and data analysis using the 
 R software environment. The underlying philosophy of the course is to trea
 t statistics as a practical skill rather than as a theoretical subject and
  as such the course focuses on methods for addressing real-life issues in 
 the biological sciences.\n\nThere are three core goals for this course:\n\
 n#	Use R confidently for statistics and data analysis\n#	Be able to analys
 e datasets using standard statistical techniques\n#	Know which tests are a
 nd are not appropriate\n\n\nR is an open source programming language so al
 l of the software we will use in the course is free.\n\nIn this course\, w
 e explore classical statistical analysis techniques starting with simple h
 ypothesis testing and building up to linear models and power analyses. The
  focus of the course is on practical implementation of these techniques an
 d developing robust statistical analysis skills rather than on the underly
 ing statistical theory.\n\nAfter the course you should feel confident to b
 e able to select and implement common statistical techniques using R and m
 oreover know when\, and when not\, to apply these techniques.\n\nPlease no
 te that if you are not eligible for a University of Cambridge Raven accoun
 t you will need to book or register your interest by linking [here](http:/
 /bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4374526&amp\;course-
 title=Core%20Statistics%20using%20R).''
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics using R (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4374526
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