Website of Professor Dr. (UoP) Bernd Heesen


Big Data Analytics

The Learning objective is to understand the impact of Big Data on all aspects of life and the opportunities as well as risks associated with the digital disruption leading into a new Digital Age.The topics covered include:

  • Big Data
    • Origin, volume and format of data
    • Business value of Big Data
    • Architectures and tools for Big Data Analytics
    • Data Analytics Lifecycle
      • Discovery
      • Data preparation (Extraction, transformation, load)
      • Model planning
      • Model building
      • Communication
  • Analytical methods, artificial intelligence, machine learning and tools (Spreadsheets, R)
    • Exploratory data analysis (descriptive, predictive)
    • Clustering
    • Association rules
    • Regression
    • Classification
    • Time series analysis & Forecasting
    • Text analysis
    • Unstructured Data analysis
  • Data visualization (Dashboards)

The exercises are performed using a selection of tools from the following list: Microsoft Excel, R, GoogleAnalytics, SAP, and Webtrekk.