Examination

Make sure you are registered for the exam in EMMA if you want to take the exam. You can cancel your registration until 7 days before the exam.

The exam consists of a presentation which has to be given on the 20th June 2025 in 01.011 from 9:00 to 14:00. Upload your presentation below before the day of the examination. The exact schedule will be added below and finalized 7 days before the exam.

In your presentation you are expected to show your skills for working with data. The presentation is supposed to take 15 minutes followed by some questions. In total the exam will take around 20 minutes. You can use the data sets and tools we covered in class. You can also work with other data sets and tools that you are already familiar with or would like to learn. When you are using another data set make sure to also share that data set with me for verification purposes.
For my grading of your work, keep in mind

• I'd like you to show and apply what you have learned in class.
• Prepare and present your slides/dashboard/documents in English.
• Use the terminology that we covered in class (filter, select, aggregate, bar chart, scatter plot, bubble chart, categorical variable, metric feature, supervised/unsupervised learning, etc.) during your presentation.
• Show that you can summarize visually in a concise and non-misleading way.
• Present a more elaborate analyses to reveal some patterns in your data set.
• Aim for a coherent presentation and jump not to much between different data sets. This also allows you to go into some depth.
• I'm most interested in your visuals and your explanation of those and the insights you got.
• Don't forget to include definitions for data fields. Sometimes it is not obvious what is being counted or measured.
• For a very good grade you are expected to do more than just replicate and rearrange the charts and analyses we did in class. Learn a new analysis, apply it and present its results.
• Have a critical mind and reflect on the obtained results. Make sure that you applied the method correctly and check that the data is plausible. Report hyperparameters if they are important and non-obvious for the analysis.

Good luck!

You can find an example from the German Tourism Association (Deutscher Tourismusverband) below. It provides basic visualizations.

Hints

• Some of the data sets we covered come with reports. You can use those reports for inspiration.
• You are allowed to talk to your fellow students about methods and how to apply them. You can also brain storm together. But make sure that you don't copy from each other. We want to avoid same/similar charts or analyses on the same/similar data.