Data Visualization with R (in collab. with CUSO)

Transform data into clear, compelling scientific figures. This course introduces the principles of effective data visualization, helping researchers select appropriate graphical representations, and communicate scientific findings accurately.
This course explores the theory and practice of scientific data visualization, with a focus on communicating research results clearly, accurately, and effectively. Participants will learn how to select the most appropriate graphical representations based on the nature of their data, the scientific message they wish to convey, and the intended audience or medium, whether a journal article, conference poster, or presentation. Through lectures and practical exercises, the course covers principles of visual design, common pitfalls in data presentation, alternatives to traditional error bars, and best practices for creating informative and transparent figures. Hands-on sessions in R introduce participants to both base R graphics and the ggplot2 framework, providing practical skills for generating high-quality visualizations. By the end of the course, participants will be able to critically evaluate graphical displays, choose effective visualization strategies, and produce professional scientific figures that enhance the communication of their research findings.
 

Registration 

Registration on the CUSO StarOmics activity page.

Do not forget to mention if your are a DSLS member when you register! 

21 spots available (8 StarOmics / 3 MPS / 6 E&E / 2 MCB / 2 DSLS)

 

Reibursements

Reimbursement requests must be accompanied by the original travel tickets and receipts; otherwise, reimbursement cannot be processed.

  • If registered as a DSLS participant: For cuso courses organized in collaboration with the DSLS, participants registered through the DSLS are eligible for reimbursement of travel expenses only. Reimbursement is calculated based on the cost of a standard SBB/CFF Half-Fare return ticket between Neuchâtel and the activity venue. Any additional travel costs are the responsibility of the participant. Accommodation, meals, and other expenses are not covered unless explicitly stated by the organizer. Lunch is covered only when specifically included in the event programme.
  • If registered as a CUSO participant: Travel expenses are reimbursed according to CUSO regulations and are calculated based on the cost of a standard SBB/CFF Half-Fare ticket (2nd class) between your home institution and the activity venue. Reimbursement requests must be submitted online through your MyCUSO account, following the procedure outlined on the CUSO website. For any questions regarding reimbursement, please contact the coordinator of the relevant CUSO programme.

 Cancellation policy

Late cancellations (after registration deadline) and no-shows may result in cancellation fees charged by the CUSO. To avoid fees, please cancel your registration before the registration deadline by sending an email to the organizers.