Business Analytics II

Brief description

Pivot Tables

  • Power Pivot
  • Management Information Systems
  • Data Visualisation

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Schels: Business Intelligence mit Excel (BEWU)
BEWE: Required materials will be communicated by the lecturer.

Planned learning activities and teaching methods

Lecture, case studies, quizzes

Assessment methods and criteria

Continuous assessment, participation & performance, assignments and presentations

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

2023

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
  • summarise results on management information systems
  • prepare reports for decision making.
The learning outcomes of this course contribute mainly to the following (international) programme learning outcomes:
LO 3.2,LO 4.1, LO 5.1

Course code

1389-20-01-VZ-DE-26