| Lerninhalte |
Business Analytics aims at introducing students to the fundamental data science know-how, which provides a start-level proficiency for tackling data-driven business problems.
Initially the course explains prediction models for Regression and Classification tasks, as well as typical Clustering approaches. Frequent Pattern Mining that discovers association rules from transactional data will be covered as well. Dimensionality Reduction techniques are taught with regards to both visualisation and feature extraction aspects. In addition, personalized strategies in the realm of Recommender Systems will be exploited. On the other hand, the course covers Time-Series Forecasting methods, as well as Process Mining from industrial data logs. Last, but not least, the course aims at providing an introduction on current strategies needed to scale data analytics methods to handle big data.
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