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DTSTAMP:20260808T162229Z
UID:52185516-5813-496b-bb79-aeebd33d0424
DTSTART:20250115T093000Z
DTEND:20250117T173000Z
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 or Python  software environ
 ment. The underlying philosophy of the course is to treat statistics as a 
 practical skill rather than as a theoretical subject and as such the cours
 e focuses on methods for addressing real-life issues in the life sciences.
 \n\nThere are three core goals for this course:\n\n#	Use R or Python confi
 dently for statistics and data analysis\n#	Be able to analyse datasets usi
 ng standard statistical techniques\n#	Know which tests are and are not app
 ropriate\n\n\nR and Python are open source programming languages so all of
  the software we will use in the course is free.\n\nIn this course\, we ex
 plore classical statistical analysis techniques starting with simple hypot
 hesis testing and building up to linear models and power analyses. The foc
 us of the course is on practical implementation of these techniques and de
 veloping robust statistical analysis skills rather than on the underlying 
 statistical theory.\n\nAfter the course you should feel confident to be ab
 le to select and implement common statistical techniques using R or Python
  and moreover know when\, and when not\, to apply these techniques.\n\n\nI
 f you do not have a University of Cambridge [Raven account](https://legacy
 .raven.cam.ac.uk/auth/account/) please book or register your interest [her
 e](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=5342706&amp
 \;course-title=Core%20Statistics%20in%20R%20or%20Python%20in-person).\n\nA
 dditional information\n\n* Our courses are only free for registered Univer
 sity of Cambridge students. All other participants will be charged accordi
 ng to our  [charging policy](http://www.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 un
 able to attend any of the live sessions\, please email the [Bioinfo Team](
 https://training.csx.cam.ac.uk/bioinformatics/info/contact).\n* Further de
 tails regarding eligibility criteria are available [here](http://www.train
 ing.cam.ac.uk/bioinformatics/info/eligibility).\n* Guidance on visiting Ca
 mbridge and finding accommodation is available [here](https://bioinfotrain
 ing.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics using R or Python (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/5342706
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