Hello, and welcome to the website for our course on conteporary solutions for clustering and data-visualisation for social scientists. During and after the course you will be able to access all the course materials on this website.

Note: This course will make use of colab-notebooks, so that we all can start of working in the same interactive python-environment. All you have to do in order to start of with this on Monday is have an active google-account. If you have a moment, you can verify that everything works, and familiarize yourself with the colab-environment in this notebook.

Looking forward to a great course! – MN

Schedule

• 9:00 – 9:15 Introductions
• 9:15 – 9:45 Introductory remarks on the epistemology of clustering
• 9:45 – 10:30 Data-visualization: Common Problems & Solutions
• 10:30 – 10:45 Short break, as needed
• 10:45 – 12:00 Clustering: Techniques, trade-offs, best practices.
• 12:00 – 13:30 Lunch break
• 13:30 – 14:00 Introduction to colab & our analysis-notebook
• 14:00 – 16:15 Free group work, finding solutions for individual datasets
• 16:15 – 16:30 Outro & Final Questions

Materials

• The clustering explorer can be found here!
• Alternatively you can host it yourself from google-colab.
• Here’s an interactive notebook to explore your datasets.
• Under this gdrive-link you can find the slides.