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DTSTAMP:20260709T221808Z
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DTSTART:20260203T093000Z
DTEND:20260217T173000Z
DESCRIPTION:Note: This iteration of the course is a special event open only
  to Wellcome Sanger Institute students and staff. If you are a Sanger staf
 f member\, please  [register your interest here](http://bioinfotraining.bi
 o.cam.ac.uk/booking-form/?event-id=5879401&amp\;course-title=Core%20statis
 tics%20SANGER%20STAFF) to be notified once a place becomes available. Afte
 r accepting an offer\, a place will be booked and you will receive a confi
 rmation email with relevant payment details. \n    \n  \n\n\n\nProgramme\n
 \nThe Sanger Institute Graduate Computational Skills Programme\n\nModule 6
 : Core Statistics\n\nThis course is intended to provide a strong foundatio
 n in practical statistics and data analysis using the R software environme
 nt. The underlying philosophy of the course is to treat statistics as a pr
 actical skill rather than as a theoretical subject and as such the course 
 focuses on methods for addressing real-life issues in the biological scien
 ces.\n\nThere are three core goals for this course:\n\n#	Use R confidently
  for statistics and data analysis\n#	Be able to analyse datasets using sta
 ndard statistical techniques\n#	Know which tests are and are not appropria
 te\n\nIn this course\, we explore classical statistical analysis technique
 s starting with simple hypothesis testing and building up to linear models
  and power analyses. The focus of the course is on practical implementatio
 n of these techniques and developing robust statistical analysis skills ra
 ther than on the underlying statistical theory.\n\nAfter the course you sh
 ould 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\nThis module consists of 3 full day sessions. \n\nDelivery\n
 \nAll sessions are in-person.
LOCATION:Craik-Marshall Building
SUMMARY:Sanger Graduate Programme 2025-26 - Core Statistics
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5879401
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