PREDICTIVE DATA ANALYTICS

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  • DURATION
    7 WEEKS
  • SUBJECT AREA
    Artificial Intelligence
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    2.5 HP
  • INSTITUTION
    Mälardalen University
  • STUDY TYPE
    Distance
  • START DATE
    2025-09-15
  • END DATE
    2025-11-02

COURSE DESCRIPTION

The course aims to give insights in fundamental concepts of machine learning for predictive analytics to provide actionable, i.e., better and more informed decisions in, forecasting. It covers the key concepts to extract useful information and knowledge from data sets to construct predictive modeling. The course includes three modules:

  • Introduction: overview of Predictive data analytics and Machine learning for predictive analytics.

  • Data exploration and visualization: presents case studies from industrial application domains and discusses key technical issues related to how we can gain insights enabling to see trends and patterns in industrial data.

  • Predictive modeling: consists of issues in construction of predictive modeling, i.e., model data and determine Machine learning algorithms for predicative analytics and techniques for model evaluation.

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