Institute of Computer Science
  1. Courses
  2. 2018/19 spring
  3. Business Data Analytics (MTAT.03.319)
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Business Data Analytics 2018/19 spring

  • Main
  • Lectures
  • Practice sessions
  • Homework
  • Discussion board
  • Links

Lectures

  1. 11.02 -- Introduction
    • Slides ||
    • Please note: Due to technical issues there was no recording.
  2. 18.02 -- Descriptive analysis and visualization
    • Slides || Video
  3. 25.02 -- Customer segmentation
    • Slides || Video
  4. 04.03 -- Customer Lifecycle management - regression problems
    • Slides || Video
  5. 11.03 -- Customer Lifecycle management - classification problems
    • Slides || Video
  6. 18.03 -- Evaluation of Model's Quality
    • Slides || Video
  7. 25.03 -- Cross-sell/Up-sell recommendations: Collaborative Filtering
    • Slides || Video
  8. 01.04 -- Guest Lecture by Tiit Sepp (Data Analyst, STACC: Software Technology and Applications Competence Center)
    • Slides|| Video
    • Please note: Due to technical issues there is only audio recording.
  9. 08.04 -- Financial Forecasting
    • Slides || Video
  10. 15.04 -- A/B testing in marketing
    • Slides || Video
  11. 22.04 -- Brand Value Monitoring
    • Slides || Video
  12. 29.04 -- Networks in Finance
    • Slides || Video
  13. 06.05 -- Guest Lecture (30-35 mins) + Lecture on Fraud Detection (~50 mins)
    • Guest Lecture by Al William Tammsaar (Data Analyst, eAgronom) Slides || Video
    • Fraud Detection Slides || Video
  14. 13.05 -- Summary and Exam Preparation + Business Analytics in Practice: The Case of Swedbank (guest lecturer: Veronika Plotnikova)
    • Summary and Exam Preparation Slides || Video
  15. 20.05 -- No Lecture
  16. 27.05 -- First Exam : 10.15-- 13.15: Room 404
  17. 03.06 -- Second Exam : 10.15-- 13.15: Room 122
  18. 10.06 -- Resit Exam : 10.15-- 13.15: Room 224
  19. Sample Exam Question
    • Solutions
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