Introduction to Python for Data Science

What it is about

You will learn the fundamentals of programming with Python and how to use Python in a data science context. In the end you will be able to load, clean, analyze and visualize data as well as select, build and evaluate simple machine learning models.

What you will be able to do

• Python basics and programming language concepts
• Handling Python data structures (lists, tuples, dicts, sets)
• File and data import/export as well as serialization
• Data preparation, cleaning and visualization
• Application of common Python packages for data science
• Basic understanding of supervised and unsupervised learning methods
• Model selection, model construction and evaluation
• Result presentation and documentation

What the module consists of

• VorlesungIntroduction to Python basics and data science concepts
• Übungen / ProgrammieraufgabenApplication and practice of the topics covered
• Gruppenarbeit / ProjektWorking on realistic questions and practical application
• PräsentationPresentation and reflection of project results

Teaching method

• VorlesungIntroduction to concepts and methods
• ÜbungenDeepening through practical programming tasks
• GruppenarbeitCollaborative development and application of solutions
• PräsentationReflection and communication of results to an audience