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DTSTAMP:20260808T230115Z
UID:d50fa29c-c7e1-42cb-99a2-3544283a9109
DTSTART:20250310T093000Z
DTEND:20250324T173000Z
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=5605313&amp\;course-title=Core%20Statistics%20
 in%20R%20or%20Python%20online).\n\nAdditional information\n\n* Our courses
  are only free for registered University of Cambridge students. All other 
 participants will be charged according to our  [charging policy](http://ww
 w.training.cam.ac.uk/bioinformatics/info/charging).\n* Attendance will be 
 taken on all courses and a charge is applied for non-attendance. After you
  have booked a place\, if you are unable to attend any of the live session
 s\, please email the [Research Informatics Training Team](https://training
 .csx.cam.ac.uk/bioinformatics/info/contact).\n* Further details regarding 
 eligibility criteria are available [here](http://www.training.cam.ac.uk/bi
 oinformatics/info/eligibility).
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics using R or Python (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5605313
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