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BEGIN:VEVENT
DTSTAMP:20260808T171101Z
UID:031c9aae-f615-4f72-b45f-469bac9cad47
DTSTART:20240215T093000Z
DTEND:20240301T130000Z
DESCRIPTION:This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes
 /tel-prize/2020) course is intended to provide a strong foundation in prac
 tical statistics and data analysis using the R software environment. The u
 nderlying philosophy of the course is to treat statistics as a practical s
 kill rather than as a theoretical subject and as such the course focuses o
 n methods for addressing real-life issues in the biological sciences.\n\nT
 here are three core goals for this course:\n\n#	Use R confidently for stat
 istics and data analysis\n#	Be able to analyse datasets using standard sta
 tistical 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 statistic
 al analysis techniques starting with simple hypothesis testing and buildin
 g up to linear models and power analyses. The focus of the course is on pr
 actical implementation of these techniques and developing robust statistic
 al analysis skills rather than on the underlying statistical theory.\n\nAf
 ter the course you should feel confident to be able to select and implemen
 t common statistical techniques using R and moreover know when\, and when 
 not\, to apply these techniques.\n\n\nIf you do not have a University of C
 ambridge [Raven account](https://legacy.raven.cam.ac.uk/auth/account/) ple
 ase book or register your interest [here](http://bioinfotraining.bio.cam.a
 c.uk/booking-form/?event-id=4809041&amp\;course-title=Core%20Statistics%20
 in%20R%20online).\n\nAdditional information\n\n* Our courses are only free
  for registered University of Cambridge students. All other participants w
 ill be charged according to our  [charging policy](http://www.training.cam
 .ac.uk/bioinformatics/info/charging).\n* Attendance will be taken on all c
 ourses and a charge is applied for non-attendance\, including for Universi
 ty of Cambridge students. After you have booked a place\, if you are unabl
 e to attend any of the live sessions\, please email the [Bioinfo Team](htt
 ps://training.csx.cam.ac.uk/bioinformatics/info/contact).\n* Further detai
 ls regarding eligibility criteria are available [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/4809041
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