Data Science

Lehrinhalte
  • * Data Science Basics
    - Terms
    - Data (Classic, Big, Attributes, ...)
    - DS Problems
    * Basic Statistics
    - Measures of Central Tendency
    - Measures of Dispersion
    - Visualization
    * Data Acquisition
    - Measuring Chain
    * Preprocessing
    - Data Cleaning
    - Data Integration
    - Data Reduciton
    - Data Transformation
    * Classic DS Methods
    - Association Analysis
    - Classification