Evidenzbasierte Entscheidungen auf der Grundlage von Big Data Analytics

What it is about

In this module you will receive an introduction to Big Data Analytics and its application through accompanying case studies. You will learn steps from data acquisition, through preparation and analysis (with Python), to interpretation of results taking into account economic questions as well as ethical and data protection risks.

What you will be able to do

• Compare Big Data characteristics with traditional business administration methods
• Identify application possibilities of Big Data Analytics for the economic sciences
• Apply methods of data acquisition
• Apply methods of data preparation (structured and unstructured data)
• Apply methods of data analysis
• Recognize challenges such as data protection, data security and ethical aspects
• Recognize trends and developments in Big Data Analytics and use them for future tasks

What the module consists of

• Selbststudium (Webinare, Tutorials, Lernvideos, Skriptum)Delivery of content, fundamentals and explanatory materials
• FallstudienApplication of the methods: data creation, -preparation, exploratory analysis, model estimation and interpretation
• Betreutes DiskussionsforumDiscussion of ethical problem cases and exchange with fellow students
• Interviews with practitionersEmbedding of economic questions and practice perspectives

Teaching method

• Virtuelle Präsentation / WebinarIntroduction to the course content and central concepts
• Erklärvideos und TutorialsSelf-directed learning and working on practical exercises
• Programmierübungen in PythonTargeted data processing, model estimation and analysis
• Online-DiskussionenReflection on ethical aspects and exchange about problem cases