Institute of Computer Science
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  2. 2020/21 spring
  3. Business Data Analytics (MTAT.03.319)
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Business Data Analytics 2020/21 spring

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  • Lectures
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Lectures

  1. 8.02 -- Introduction
  2. 15.02 -- Descriptive analysis and visualization
  3. 22.02 -- Customer segmentation
  4. 01.03 -- Customer Lifecycle management - regression problems - Part I
  5. 08.03 -- Customer Lifecycle management - regression problems - Part II
  6. 15.03 -- Customer Lifecycle management - classification problems - Part I
  7. 22.03 -- Customer Lifecycle management - classification problems - Part II
  8. 29.03 -- Cross-sell/Up-sell recommendations: MBA, Collaborative Filtering and Content Based Filtering
  9. 05.05 -- Uplift Modeling
  10. 12.04 -- A/B testing in marketing
  11. 19.04 -- Brand Value Monitoring
  12. 26.04 -- Financial Networks.
  13. 03.04 -- Fraud Detection
  14. 10.04 -- Fairness and Explainability
  15. 17.05 -- Guest Lecture
  16. 24.05 -- Business Analytics in Practice: The Case of Swedbank (guest lecturer: Veronika Plotnikova)
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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