The CIES Methodological Innovation Laboratory is organizing a data visualization training course aimed at CIES doctoral students. The course takes place on May 28–29 and June 1, from 6:00 PM to 9:00 PM, totaling 9 hours of in-person training.

VENUE
Room A104, Building 4, Iscte

REGISTRATION
https://bit.ly/CursoLIM

Enrollment is limited to 15 places, assigned on a first-come, first-served basis.

ABOUT THE COURSE
The Data Visualization for Science Communication training aims to develop core competencies for the clear and effective representation and communication of data in a scientific research context. In an era of abundant data production and availability, it is essential to know how to synthesize complex results and convey them in a rigorous, accessible, and effective manner. Understanding the fundamentals of visual perception — including the use of color, shape, and position — combined with visualization best practices, enables data to be presented more clearly, effectively, and efficiently, facilitating comprehension, generating knowledge, and amplifying the impact of research.

Microsoft Excel stands out as a useful, versatile, and effective tool for building charts and other visualizations, transforming abstract data into visual narratives that make it easier to identify patterns, trends, or relationships.

By the end of this training, participants should be able to:

• Understand the main fundamentals of visual perception applied to data visualization — namely visual variables — and apply them in an informed and appropriate manner.
• Select and build, in Excel, graphical representations suited to the data and communication objectives, maximizing their informational power and avoiding ambiguities or misinterpretations.
• Design and develop a data-driven visual narrative using Excel.