Big data for decision making

60-318  Big data for decision making

second cycle Master degree study programme Management

Course Supervisor: Assist. Prof. Tine Bertoncel

  Content

Course purpose

Knowing data usage for everyday and strategic decision making.

Content (Syllabus outline)

  • Knowledge of Big Data concept
  • Understanding the meaning of Big Data for a modern society, business and indivuduals
  • Managerial usage of BD
  • Structured vs. unstructured data
  • ETL process in Rapidminer and Python
  • Use of machine learning algorithms on big data: cases of algorithms in Rapidminer and Python
  • Unstructured data – text mining
  • BD forecasts and trends in companies

 

 

 

 

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