320098 :Analytics for Business & Governance


Voertaal Engels
Werkvorm: Instruction hours, Computer lab sessions (using Excel), Case studies (Collegerooster)
Tentamenvorm: written examination and computer lab assignments (Tentamenrooster)
Studielast:6 ECTS credits
Blackboard informatieLink to Blackboard (Als u de melding 'Guest are not allowed in this course' krijgt, dient u nog bij Blackboard in te loggen)


dr. G. Gurkan (Coordinator)

Doel van de cursus (alleen in het Engels beschikbaar)

  • To understand the foundations of Business Analytics
  • To understand the distinction between descriptive, predictive and prescriptive analytics
  • To understand predictive and prescriptive analytics tools and techniques.
  • To be able to apply these analytics tools and techniques to decision problems in logistics, finance and marketing.
  • To be able to use data for better decision making.
  • To be able to use Excel for Analytics.

  • Inhoud van de cursus (alleen in het Engels beschikbaar)

    Foundations of Business Analytics
  • What is Business Analytics?
  • Descriptive, predictive and prescriptive analytics
  • Data for Business Analytics
  • Problem Solving and Decision Making
  • Analytics on Spreadsheets (Excel)

  • Descriptive Analytics
  • Probability distributions and data modeling
  • Sampling and estimation
  • Statistical interference
  • Cases in logistics, finance and marketing

  • Predictive Analytics
  • Predictive modeling and analysis
  • Regression analysis
  • Simulation and Risk Analysis
  • Forecasting techniques
  • Cases in logistics, finance and marketing

  • Prescriptive Analytics
  • Linear optimization
  • Applications of Linear optimization
  • Integer optimization
  • Nonlinear optimization
  • Optimization models with uncertainty
  • Cases in logistics, finance and marketing

  • Bijzonderheden (alleen in het Engels beschikbaar)

    This course consists of assignments (20%) and an exam (80%). Repeaters will have to do the whole course again, including assignments.

    Resit exam counts as 100% for everyone.

    Verplichte literatuur

    1. James R. Evans, Pearson, Business Analytics, Methods, Models, and Decisions. International Edition
    2. Case studies. to be announced in class

    Verplicht voor

    • Data Science: Business and Governance ( 2015, 2016, 2017 )
    • Data Science: Business and Governance (voorjaar) ( 2017 )

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