Ärianalüütika 2018/19 kevad

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