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Instructors: Agota Barabas; Balázs Cserpes; Dr. Ayse Glass; Dr. Dr. Rafael Milani Medeiros
Event type:
Seminar
Org-unit: Fachübergreifende Studienangebote
Displayed in timetable as:
Skills: Digital Visualising
Crediting for:
Hours per week:
2
Location:
Hamburg
Language of instruction:
Englisch
Min. | Max. participants:
- | 30
Grading:
Beschreibung:
Advances in technology have enabled us to gather, analyse and visualise data in large quantities, volumes and varieties. Though terms such as big data, data-driven studies, or digital twins have become important keywords in both academic and non-academic discussion, the term “data” remains vague and unclear in the times where software is for free and data is gold Is there such thing as raw, unprepared data? Can the data speak for itself and provide insights into complex questions? Are the questions as important as the answers we can extract from data analysis and visualization?
In this course, we will explore the tools and techniques needed to create powerful data visualisations that can help highlight complex issues, argue for solutions, or tell a compelling story. From hand-drawn sketches to software products like Q-GIS and Illustrator, AI-image generators, or even self-written and adapted (Python/R) code snippets, we will cover a range of methods and approaches that can be used to transform raw data into clear and compelling visuals.
Whether the course participants have experience with coding and quantitative analysis or not, this course will provide them with the basic knowledge and skills needed to effectively collect, analyse, and visualize data. By the end of the course, the students will be able to create beautiful and intuitive data visualizations that can help you make sense of complex data and communicate your findings in a way that is both engaging and effective.
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