Business Analytics II
Brief description
- Pivot Tables
- Power Pivot
- Management Information Systems
- Data visualisation
- Dynamic visualisation approaches
Mode of delivery
Präsenzveranstaltung
Type
Pflichtfach
Recommended or required reading and other learning resources/tools
Required materials will be communicated by the lecturer.
Planned learning activities and teaching methods
Face-to-face learning (input, assignments, individual and group presentations), blended learning
Assessment methods and criteria
Continuous assessment, active in-class participation & performance (10 %), individual (20%) and group assignments (30 %), and individual (10 %) and group presentations (30 %)
Prerequisites and co-requisites
Business Analytics I
Infos
Degree programme
European Economy and Business Management (English)
Cycle
Bachelor
ECTS Credits
2.00
Language of instruction
English
Curriculum
Full-Time
Academic year
2024
Semester
3 WS
Incoming
No
Learning outcome
After successful completion of the course, students can:
- prepare existing data for operational decision-making situations
- evaluate prepared data efficiently
- present data by using dynamic visualisation methods
- summarise results in management information systems
- prepare reports for decision making.
Course code
1389-20-01-VZ-DE-26