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DTSTAMP:20260709T212053Z
UID:2bd141df-f890-480a-b891-0b1e0f9a656c
DTSTART:20260126T090000Z
DTEND:20260129T170000Z
DESCRIPTION:## Overview  \nThis course is designed to provide researchers i
 n biomedical sciences with experience in the application of basic statisti
 cal analysis techniques to a variety of biological problems.\nThe course w
 ill combine lectures on statistics and practical exercises\, during which 
 the participants will learn how to work with the widely used "R" language 
 and environment for statistical computing and graphics.\nTopics covered du
 ring the course include: reminders about numerical and graphical summarie
 s\, and hypothesis testing\; multiple testing\, linear models\, correlatio
 n and regression\, dimensionality reduction such as principal component an
 alysis\, heatmaps and the basis of clustering algorithms. Participants wil
 l also have the opportunity to ask questions about the analysis of their 
 own data. \n\n## Audience\nThis typical profile is a biologist needing to
  perform statistical analyses using R.\n\n## Learning outcomes\nAt the end
  of the course\, the participants are expected to:\n\n	choose the right me
 thod to summarize a dataset\, graphically and numerically\n	perform basic 
 hypothesis tests on a datatest\n	assess whether different variables are li
 nked\, using correlation and regression analysis\n	use the R statistical p
 ackage to run statistical analyses and interpret their outcome\n	use dimen
 sionality reduction to overcome problems of big data\n	perform clustering 
 on datasets\n	visualise complex data using heatmaps\n	use dimensionality r
 eduction such as principal component analysis to overcome problems of big 
 data\n \n\n\n## Prerequisites\nTechnical:\n\n	A laptop with a wifi connect
 ion\n	Software to be installed PRIOR to the course: R\, R Studio\n\nKnowle
 dge / competencies: \n\nNo prior statistical knowledge is required in orde
 r to attend the course\nParticipants do not need any experience in R befor
 e the course\n\n\n# Application\n\n\nThe registration fees for academics a
 re **400 CHF** and **2000 CHF** for for-profit companies.\n\nYou will be i
 nformed by email of your registration confirmation. Upon reception of the 
 confirmation email\, participants will be asked to confirm attendance by p
 aying the fees within 5 days.\n\nApplications close on *14/01/2026*. Deadl
 ine for free-of-charge cancellation is set to *14/01/2026*. Cancellation a
 fter this date will not be reimbursed. Please note that participation in S
 IB courses is subject to our [general conditions](https://www.sib.swiss/tr
 aining/terms-and-conditions).\n\n\n\n# Venue &amp\; Time\n\nThe course wil
 l take place at the University of Lausanne.\n	\nIt will start at 9:00 and 
 end around 17:00 every day. \n	\nMore information will be provided to the 
 participants in due time.\n\n## Additional information\nCoordination: Gré
 goire Rossier\n\nWe will recommend  1 ECTS credits for this course (given 
 a passed exam at the end of the course).\n\nYou are welcome to register to
  the SIB courses mailing list to be informed of all future courses and wor
 kshops\, as well as all important deadlines using the form [here](https://
 lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note 
 that participation in SIB courses is subject to our [general conditions](h
 ttps://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the 
 [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct)
 . Participants of SIB courses are also required to abide by the same code.
 \n\nFor more information\, please contact [training@sib.swiss](mailto://tr
 aining@sib.swiss).
SUMMARY:Introduction to Statistics and Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20260126_ISDVR
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