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Courses in winter term 2017 / Lecture Business Analytics

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.

Lecturer: Dr. Josif Grabocka
Trainer:
 
Lecture:
Time: Thu 14-16
Location:
Begin: 26.10.2016
Assignment: Data Analytics & MSc WI & IMIT
 
Tutorial:
Time: Mon 12-14
Location: B 026
Begin: 30.10.2016
 
Exam:
Date:
Location:
Begin:
Length:
 
More:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Last Lecture: here