This course introduces data science and machine learning through the full workflow from raw data to insights. Students gain competency in core data operations, essential statistical tools, supervised and unsupervised methods, and ethical practice. Tutorials provide hands‑on experience using Python and IDEs.

Introduction to Python Programming provides an overview of the basic programming blocks needed to translate a problem, stated in textual form, into an algorithm that solves it. The course provides an introduction to the Python programming language as well as satellite tools like Bash scripting, code versioning, ETH infrastructure and AI-assisted tools.

The course teaches computational methods and first hands-on applications by starting from biological problems/phenomena that students in the 4th semester are somewhat familiar with. During the exercises, students will obtain first experience with programming their own analyses/models for data analysis/interpretation.