Introduction to scientific data visualization

Aim:To learn how to present scientific data and maximize the effectiveness of your visualizations
Provider: Fernando Cucchietti and Guillermo Marin
For:All residents

This course provides scientists with the basic understanding of data visualization principles to communicate their results through impactful and accurate charts and graphs. The principles of graphic design and information visualization that form the course are useful to show results in conferences, articles, or to build exploratory visualizations to interrogate the data.

In this course you will:

- Be able to choose the most suitable visualization, depending on the intended purpose.
- Learn to transform the analyses and conclusions into narratives.
- Get to know and understand current techniques for data visualization

The contents of the course come from the field of data visualization and are independent of any particular research area. Thus, they can be applied in a variety of fields as long as they involve data, and the need to visually communicate complex information.

Study commitment:

Participants will be asked to bring an idea/draft of a visualization related to their area of interest, to develop it during the course. More information will be sent some weeks before the course.
Students may use their visualization software of choice. In case of not having one, the trainers will provide a few options.


Fernando Cucchietti is the head of visualization and data analytics at the Barcelona Supercomputing Center (BSC). PhD in quantum physics at the University of Córdoba (Argentina), with postdocs at Los Alamos National Laboratory and the Institute of Photonic Sciences.

Guillermo Marin is a lead visualization artist at the BSC and director of UPF’s Masters in Computer Animation. He has more than 10 years of experience in the animation industry.

Dates: Place/time: Capacity: State:  

Participants need to bring a laptop for this course

For any questions or comments please email

Finished editions:

19th & 20th November 2018
19th & 26th October 2017