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DTSTAMP:20260808T153059Z
UID:59603b6c-9595-441f-8256-4b5efe04dbd3
DTSTART:20240710T083000Z
DTEND:20240712T160000Z
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/4810560)\n\n\nThis [award winning](https://www
 .cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) course is intended to prov
 ide a strong foundation in practical statistics and data analysis using th
 e R software environment. The underlying philosophy of the course is to tr
 eat statistics as a practical skill rather than as a theoretical subject a
 nd as such the course focuses on methods for addressing real-life issues i
 n 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 anal
 yse datasets using standard statistical techniques\n#	Know which tests are
  and are not appropriate\n\n\nR is an open source programming 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 and power analyses. T
 he focus of the course is on practical implementation of these techniques 
 and developing robust statistical analysis skills rather than on the under
 lying statistical theory.\n\nAfter the course you should feel confident to
  be able to select and implement common statistical techniques using R and
  moreover know when\, and when not\, to apply these techniques.\n\n\nIf yo
 u do not have a University of Cambridge [Raven account](https://legacy.rav
 en.cam.ac.uk/auth/account/) please book or register your interest [here](h
 ttp://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4810540&amp\;co
 urse-title=Core%20Statistics%20in%20R%20online).\n\nAdditional information
 \n\n* Our courses are only free for registered University of Cambridge stu
 dents. All other participants will be charged according to our  [charging 
 policy](http://www.training.cam.ac.uk/bioinformatics/info/charging).\n* At
 tendance will be taken on all courses and a charge is applied for non-atte
 ndance\, including for University of Cambridge students. After you have bo
 oked a place\, if you are unable to attend any of the live sessions\, plea
 se email the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/
 info/contact).\n* Further details regarding eligibility criteria are avail
 able [here](http://www.training.cam.ac.uk/bioinformatics/info/eligibility)
 .
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics using R (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/4810540
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