Business Analytics and Machine Learning (IN2028)

This is an introductory course in data analysis with a focus on various methods for causal inference and applications in business and economics. The analysis of human choice behavior is particularly challenging in this domain and differs from other fields of data analysis and machine learning. The participants will learn widespread methods for numerical prediction, classification, clustering, and dimensionality reduction. During tutorials, students will compute examples by hand and analyze data with the R language. The participants will be able to apply their knowledge during the Analytics Cup. This is a graded optional project where they get to analyze real data sets. If the grade in this project is better than the exam grade, it will be weighted by 33% and the exam by 67%. Therefore, participating students can only improve their grades.