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