Business Analytics

Overview

Type of Course Lecture and exercise course
Term Winter term 2020/21
Credits 6 ECTS
Course language English
Responsible Instructors Muntermann, Jan, Prof. Dr.
Bankamp, Steffen, M.Sc.
Dates/Times/Location Lecture: Wednesday, 18:15 - 19:45
Exercise: Thursday, 12:15-13:45
Exam tba

Contents:

  1. Managerial decision making and computerized support
  2. Business intelligence
  3. Advanced analytics with structured data
  4. Advanced analytics with unstructured data

Learning outcome:

After a successful completion of the course students have acquired the following skills:

  • Understand the basic principles of decision support systems, business intelligence, and advanced analytics.
  • Know and apply a skillset suited for addressing unstructured decision situations that require advanced data processing and analysis.
  • Understand and evaluate methods and tools required in descriptive data analytics.
  • Understand, apply and evaluate approaches for advanced data analytics, especially data and text mining techniques.

Zusätzliche Informationen lassen sich dem UniVZ entnehmen.