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DTSTAMP:20260711T084556Z
UID:e30d0b17-08b2-442d-a699-175c50ff24f9
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.\nIt will comb
 ine lectures on statistics and practical exercises\, during which the part
 icipants will learn how to work with the widely used "R" language and envi
 ronment for statistical computing and graphics.\nTopics covered during the
  course include: reminders about numerical and graphical summaries\, and 
 hypothesis testing\; multiple testing\, linear models\, correlation and re
 gression\, dimensionality reduction such as principal component analysis\,
  heatmaps and the basis of clustering algorithms. Participants will also h
 ave the opportunity to ask questions about the analysis of their own data
 . \n\n## Audience\nThe typical profile is a biologist needing to perform 
 statistical analyses using R.\n\n## Learning outcomes\nAt the end of the c
 ourse\, the participants are expected to:\n\n	choose the right method to s
 ummarize a dataset\, graphically and numerically\n	perform basic hypothesi
 s tests on a datatest\n	assess whether different variables are linked\, us
 ing correlation and regression analysis\n	use the R statistical package to
  run statistical analyses and interpret their outcome\n	use dimensionality
  reduction to overcome problems of big data\n	perform clustering on datase
 ts\n	visualise complex data using heatmaps\n	use dimensionality reduction 
 such as principal component analysis to overcome problems of big data\n \n
 \n\n## Prerequisites\nTechnical:\n\n	A laptop with a wifi connection\n	Sof
 tware to be installed PRIOR to the course: R\, R Studio\n\nKnowledge / com
 petencies: \n\nNo prior statistical knowledge is required in order to atte
 nd the course\nParticipants do not need any experience in R before the cou
 rse\n\n\n# Application\n\n\nThe registration fees for academics are **400 
 CHF** and **2000 CHF** for for-profit companies.\n\nYou will be informed b
 y email of your registration confirmation. Upon reception of the confirmat
 ion email\, participants will be asked to confirm attendance by paying the
  fees within 5 days.\n\nApplications close on *14/01/2026*. Deadline for f
 ree-of-charge cancellation is set to *14/01/2026*. Cancellation after this
  date will not be reimbursed. Please note that participation in SIB course
 s is subject to our [general conditions](https://www.sib.swiss/training/te
 rms-and-conditions).\n\n\n\n# Venue &amp\; Time\n\nThe course will take pl
 ace at the University of Lausanne.\n	\nIt will start at 9:00 and end aroun
 d 17:00 every day. \n	\nMore information will be provided to the participa
 nts in due time.\n\n## Additional information\nCoordination: Grégoire Ros
 sier\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 workshops\, 
 as well as all important deadlines using the form [here](https://lists.sib
 .swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note that part
 icipation in SIB courses is subject to our [general conditions](https://ww
 w.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR C
 ode of Conduct](https://elixir-europe.org/events/code-of-conduct). Partici
 pants of SIB courses are also required to abide by the same code.\n\nFor m
 ore information\, please contact [training@sib.swiss](mailto://training@si
 b.swiss).
SUMMARY:Introduction to Statistics and Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20260126_STATR
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