Preconditions: A basic understanding of multivariate statistics (e.g., regression analysis) is recommended, although the corresponding material is also revisited in the course.
Topics: Computer programming, Python eco-system, object-orientation, data analytics process model, data sci-ence methods, Python demos and use cases, pro-gramming tasks, empirical work.
Learning objectives: Students are familiar with the Python programming language and know the Python ecosystem for data analysis and machine learning. Students understand general-purpose programming concepts such as object-orientation. Beyond acquiring programming abilities, students understand the fundamentals of machine learning and AI. Students know typical applications of the corresponding methods in industry and business research and have hands-on skills with employing Python libraries for machine learning to solve data-oriented business decision problems.
StO/PO BA BWL und VWL 2016: 6 LP, Modul: "Introduction to Python Programming for Machine Learning & AI"
Written exam (90 min)
Die Veranstaltung wurde 6 mal im Vorlesungsverzeichnis WiSe 2024/25 gefunden:
