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DTSTAMP:20260715T122237Z
UID:29ab1cbc-a15f-40d2-b365-3f8c855ea4d2
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 should be able to: \n\n* **app
 ly** data visualisation methods to represent their data and get their mess
 age across. \n\n* **choose** the right method to represent a dataset graph
 ically. \n\n* **use** the R software (base R and ggplot2) to produce data 
 visualisations. \n\n# Prerequisites\n### ***Knowledge / competencies***\n*
 *Participants must have basic knowledge of R programming.** You should be 
 able to read and import data files\, as well as select subsets of data\, b
 ut do not need to know how to create plots in R. In other words\, you shou
 ld meet the learning outcomes of [First Steps with R in Life Sciences](htt
 ps://www.sib.swiss/training/course/FSWRR).\n\nIn case of doubt\, evaluate 
 your **R skills** [here](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuab
 d_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link).\n\n\n### 
 ***Technical***\nYou will need access to a computer.  Please install [R](h
 ttps://www.r-project.org/) and the [latest RStudio version](https://www.rs
 tudio.com/products/rstudio/download/#download) (the free version is perfec
 tly fine) before the course. A list of packages to be installed will be pr
 ovided in due time.\n\n# Application\nThe registration fees for academics 
 are **200 CHF** and **1000 CHF** for for-profit companies. \nWhile partici
 pants are registered on a first come\, first served basis\, exceptions may
  be made to ensure diversity and equity\, which may increase the time befo
 re your registration is confirmed.\n\nYou will be informed by email of you
 r registration confirmation. Upon reception of the confirmation email\, pa
 rticipants will be asked to confirm attendance by paying the fees within *
 *5 working days**. \n\nApplications will close on **04/12/2026**  or as so
 on as the places will be filled up. Cancellation after **04/12/2026** will
  not be reimbursed. Please note that participation in SIB courses is subje
 ct to our [general conditions](https://www.sib.swiss/training/terms-and-co
 nditions). \n\n# Venue and Time\nThe course will take place at the Univers
 ity of Bern.\n\nThe course will start at 9:15 and end around 17:15. \n\nPr
 ecise information will be provided to the participants in due time.\n\n#  
 Additional information\n\nCoordination: Monique Zahn\, SIB Training group.
 \n\nA **Certificate of Attendance** will be sent provided you were present
  at the course\, whereas a **Certificate of Achievement** recommending 0.5
  ECTS credits will be sent provided you passed the exam.\n\nYou are welcom
 e 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 participation in SIB courses is subject to our [gener
 al conditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSI
 B abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/
 code-of-conduct). Participants of SIB courses are also required to abide b
 y the same code.\n\nFor more information\, please contact [training@sib.sw
 iss](mailto://training@sib.swiss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20261214_DATVS
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