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Business intelligence and analytics


Aims of the course

To acquaint students with the methods and tools for business decision making. Business aspects and practical application are emphasized.

Course syllabus

1. Analytical decision processes
2. BI&A applications
3. Technologies
4. Data architecture
5. Self-service business intelligence
6. Big data introduction
7. BIS development
8. Multidimensional analytics / OLAP
9. Associative analytics
10. Predictive analytics: Data mining
11. Business value of BI&A

Course director(s)

  • Office Hours
  • Wednesday at 12:00 in RZ-404
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