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

German

Curriculum

Full-Time

Academic year

2025

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