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DTSTAMP:20260619T162145Z
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DTSTART:20261214T090000Z
DTEND:20261215T170000Z
DESCRIPTION:# Overview\nScientific results are mostly conveyed through grap
 hics and tables\, and representing data graphically in a clear way is an i
 mportant task for any scientist.  \n\nHowever\, creating graphs is far fro
 m a straightforward task\, and selecting an appropriate visualization can 
 prove to be quite intricate. The process of designing an effective graph h
 inges on numerous factors\, including but not limited to the nature of the
  data\, the researcher's intended message\, the intended context for the g
 raph (such as whether it will appear in a scholarly article or presentatio
 n slides)\, the target audience\, and various other elements that need to 
 be considered. \n\nDuring this 2-day course\, we will present different wa
 ys for representing data\, how to choose among them\, why you should avoid
  using error bars\, how to design efficient graphs\, which tools to use (a
 nd which tools to avoid !)\, how to design graphs for specific media\, goo
 d practices for plotting data\, common mistakes to avoid\, and advanced te
 chniques for showing complex data during presentations. Along the way\, we
  will consider many examples\, both good and bad\, including those propose
 d by the participants. \n\nThis course will also include practicals using 
 the R statistical software\; in particular\, we will discuss and introduce
  the different models for creating graphics in R (including base R and ggp
 lot2).\n\n# Audience\nThis course is designed for PhD students\, postdocto
 ral and other researchers in the life sciences from both academia and indu
 stry who need to present their data graphically. \n\n# Learning outcomes\n
 At the end of the course\, the participants are expected to: \n\n* Apply d
 ata visualisation methods to represent their data and get their message ac
 ross. \n\n* Choose the right method to represent a dataset graphically. \n
 \n* Use the R software (base R and ggplot2) to produce data visualisations
 . \n\n# Prerequisites\n### ***Knowledge / competencies***\n**Basic knowled
 ge of R programming is required.** Participants should be able to read and
  import data files\, as well as select subsets of data\, but do not need t
 o know how to create plots in R.\n\nTo get the most out of this course\, y
 ou should meet the learning outcomes of [First Steps with R in Life Scienc
 es](https://www.sib.swiss/training/course/FSWRR).\n\nIn case of doubt\, ev
 aluate your **R skills** [here](https://docs.google.com/forms/d/e/1FAIpQLS
 dIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link).\n\
 n\n### ***Technical***\nAttendees should have a Wi-Fi enabled computer.  P
 lease install [R](https://www.r-project.org/) and the [latest RStudio vers
 ion](https://www.rstudio.com/products/rstudio/download/#download) (the fre
 e version is perfectly fine) before the course. A list of packages to be i
 nstalled will be provided in due time.\n\n# Application\nThe registration 
 fees for academics are **200 CHF** and **1000 CHF** for for-profit compani
 es. \n\nWhile participants are registered on a first come\, first served b
 asis\, exceptions may be made to ensure diversity and equity\, which may i
 ncrease the time before your registration is confirmed.\n\nApplications cl
 ose as soon as the places will be filled up\, until **04/12/2026**. Deadli
 ne for free-of-charge cancellation is set to **04/12/2026**. Cancellation 
 after this date will not be reimbursed.\n\nYou will be informed by email o
 f your registration confirmation. Upon reception of the confirmation email
 \, participants will be asked to confirm attendance by paying the fees wit
 hin 5 days.\n\n\n\n# Venue and Time\nThe course will take place in Bern.\n
 \nIt will start at 9:15 and end around 17:15 every day. \n\nPrecise inform
 ation will be provided to the participants in due time.\n\n#  Additional i
 nformation\n\nCoordination: Monique Zahn\, SIB Training group.\n\nWe will 
 recommend 0.5 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/postoriu
 s/lists/courses.lists.sib.swiss/).\n\nPlease note that participation in SI
 B courses is subject to our [general conditions](https://www.sib.swiss/tra
 ining/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct]
 (https://elixir-europe.org/events/code-of-conduct). Participants of SIB co
 urses are also required to abide by the same code.\n\nFor more information
 \, please contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20261214_DATVS
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