This course builds on the winter semester course Coding as a Tool and introduces fundamental concepts of data analysis and data-driven thinking using Python.

Students expand their existing coding knowledge by working with datasets, learning how to prepare, explore, and interpret data for scientific, artistic, or hybrid projects. The focus is on using code as a practical tool rather than on advanced programming techniques.

Key topics include:

- refresh basic coding knowledge

- working with tabular and structured data

- cleaning and transforming data

- basic data analysis concepts

- visualizing data to explore patterns or communicate ideas

Students will continue to use AI tools critically as part of their workflow, reflecting on how AI can support data exploration, debugging and interpretation.

The course is designed for students who completed the winter semester course or who have an equivalent basic understanding of Python (variables, lists, dictionaries, functions, and files). It is not intended for advanced programmers.

Students are encouraged to use data in scientific or artistic projects by combining data analysis with creative and critical approaches.

Evaluation of project-based work developed during the semester.

60% - attendace

40% - project & presentation in final class 

Please bring a laptop and have a Google account (for Google Colab).

In-class participation and discussion is encouraged.

Students from other departments or universities will receive a place on the course subject to room capacities.