Data visualization in tables and graphs is essential to effective communication, because it can convey complex relationships in a way unmatched by simple text.
Scientific Data Visualization is a half-day course. It consists of about 4 hours of pre-course preparatory homework, followed by 4 hours of group work and interactive lectures.
If the course is [Full], you can still register, but you will be placed on a waiting list. We will contact you as soon as a place becomes available. At that time you can still decide whether you want to participate in the course.
Effective communication of scientific data is one of the most important skills of a scientist. Stated bluntly, if the intended audience does not get the message in the data (and acts on it), the research effort is wasted. Data visualization in tables and graphs is essential to effective communication, because it can convey complex relationships in a way unmatched by simple text. However, data visualization is not really a big thing in the education of scientists, nor is it stimulated by the parties responsible for the dissemination of research results, i.e. journals and scientific societies.
This half-day course intends to put the student on the right track to obtain the necessary skills. It consists of about 4 hours of pre-course preparatory homework, followed by 4 hours of group work and interactive lectures. Students prepare by familiarizing themselves with the necessary software; they also submit a table, graph (or both) from prior work. During the course they receive personalized feedback, and set to improve their product using Microsoft Word (tables) and GraphPad Prism, and the course book written by your lecturer:
“Data Visualization for Biomedical Scientists: Creating Tables and Graphs That Work”
(VU University Press, 2022).
Preparatory work (at home, 4 hours)
Workshop (on location, afternoon, 4 hours)
The course is intended for junior and senior scientists aiming to improve their visualization skills.
Participants are expected to have:
Book (mandatory):
Data Visualization for Biomedical Scientists: Creating Tables and Graphs That Work (VU University Press, 2022). Available at the study book section of the VU bookstore, or online at: Data Visualization for Biomedical Scientists – VU University Press with a discount of 20%, using kortingscode Boers22Workshop
A certificate of participation will be granted to all students who have submitted material and attended the whole afternoon. Only the contact hours (4 hours) are stated on this certificate.
Only for Dutch medical specialists!
If you wish to be considered for accreditation points by the KNMG , you must sign the attendance list on the day of the course.
To qualify for the accreditation points, you must have been present the whole course.
Professor of Clinical Epidemiology, rheumatologist Department Epidemiology and Data Science, Amsterdam UMC