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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T230054Z
UID:c1ec1ea5-e579-4884-bef6-d6a5d21eefd7
DTSTART:20220928T083000Z
DTEND:20220930T160000Z
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/4373318)\n\n\nThis [award winning](https://www
 .cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered course
  is intended to provide a strong foundation in practical statistics and da
 ta analysis using the R software environment. The underlying philosophy of
  the course is to treat statistics as a practical skill rather than as a t
 heoretical subject and as such the course focuses on methods for addressin
 g real-life issues in the biological sciences.\n\nThere are three core goa
 ls for this course:\n\n#	Use R confidently for statistics and data analysi
 s\n#	Be able to analyse datasets using standard statistical techniques\n#	
 Know which tests are and are not appropriate\n\n\nR is an open source prog
 ramming language so all of the software we will use in the course is free.
 \n\nIn this course\, we explore classical statistical analysis techniques 
 starting with simple hypothesis testing and building up to linear models a
 nd power analyses. The focus of the course is on practical implementation 
 of these techniques and developing robust statistical analysis skills rath
 er than on the underlying statistical theory.\n\nAfter the course you shou
 ld feel confident to be able to select and implement common statistical te
 chniques using R and moreover know when\, and when not\, to apply these te
 chniques.\n\nPlease note that if you are not eligible for a University of 
 Cambridge Raven account you will need to book or register your interest by
  linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-i
 d=4373279&amp\;course-title=Core%20Statistics%20using%20R).''
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics using R (ONLINE)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4373279
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