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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260809T062233Z
UID:5b35c5f4-eea5-422b-8c13-5e4f705f7f04
DTSTART:20210208T140000Z
DTEND:20210224T170000Z
DESCRIPTION:PLEASE NOTE that this course will be taught live online\, with 
 tutors available to help you throughout if have any questions. All resourc
 es and lectures will be recorded and uploaded to the course VLE page so th
 at you will be able to access that information even if technical or time z
 one restrictions means that you aren't able to join us for all of the live
  sessions.\n\nThis [award winning](https://www.cambridge.org/core/cambridg
 e-technology-enabled-learning-prize-2020) virtually delivered course is in
 tended to provide a strong foundation in practical statistics and data ana
 lysis using the R or Python software environments. The underlying philosop
 hy of the course is to treat statistics as a practical skill rather than a
 s a theoretical subject and as such the course focuses on methods for addr
 essing real-life issues in the biological sciences.\n\nThere are three cor
 e goals for this course:\n\n#	Use R or Python confidently for statistics a
 nd data analysis\n#	Be able to analyse datasets using standard statistical
  techniques\n#	Know which tests are and are not appropriate\n\n\nBoth R an
 d Python are free software environments that are suitable for statistical 
 and data analysis.\n\nIn this course\, we explore classical statistical an
 alysis techniques starting with simple hypothesis testing and building up 
 to linear models and power analyses. The focus of the course is on practic
 al implementation of these techniques and developing robust statistical an
 alysis skills rather than on the underlying statistical theory.\n\nAfter t
 he course you should feel confident to be able to select and implement com
 mon statistical techniques using R or Python and moreover know when\, and 
 when not\, to apply these techniques.\n\nPlease note that if you are not e
 ligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/doc
 s/faq/raven/n5) account you will need to book or register your interest by
  linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-i
 d=3753836&amp\;course-title=Core%20Statistics).''
LOCATION:Craik-Marshall Building
SUMMARY:Core Statistics (ONLINE LIVE TRAINING)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/3753836
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