9-13 December 2019
Free University ofFreie Universität Berlin - Otto von Simson-Strasse 26, 14195 Berlin
The ability to visualise data and analyses effectively is a highly prized skill in the data analysis workplace. Increasingly, employers are placing a high value on the ability to communicate as well as calculate. In this week-long course, you will learn how to design visualisations such as charts, maps and interactive graphics, which bring insight and understanding to your audience. You will learn about perception, the design process and the tools that you can use to make visualising easy. The course is highly interactive with group exercises throughout.
There will be two versions: for those who wish to practice some coding, for example with R, and for those who wish to work on paper throughout. In the last two days, participants in their groups will carry out a larger "project", where we present real-life data with a briefing from a researcher. The challenge will be to produce some visualisations and pitch them to the researcher on the last day, with feedback on your project work.
We assume some basic awareness of analysis, such as some previous study of research methods. No prior knowledge of visualisation tools or design techniques is needed.
This course is based on the trainer's book "Data Visualization: charts, maps and interactive graphics", published by CRC Press (ISBN 9781138707603). Other recommended visualisation books are "How Charts Lie" by Alberto Cairo and "Design For Information" by Isabelle Meirelles.
After taking this course, you will:
Monday: 9:30 - 17:30
Talks, discussion and group exercises:
Visual parameters and common graph designs
Sketching and user testing (part 1)
COURSE + REFRESHMENTS
COURSE + REFRESHMENTS + LUNCH and ACCOMMODATION
Registration deadline: 15th November 2019
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.