Lectures
- 10.02 -- Introduction
- 17.02 -- Descriptive analysis and visualization
- 24.02 -- No Lecture
- 02.03 -- Customer segmentation
- 09.03 -- Customer Lifecycle management - regression problems
- 16.03 -- Customer Lifecycle management - classification problems
- 23.03 -- Evaluation of Model's Quality
- 30.03 -- Cross-sell/Up-sell recommendations: MBA, Collaborative Filtering and Content Based Filtering
- 06.04 -- Cross-sell/Up-sell recommendations: Neural Networks and Embedding based approach.
- Guest Lecture by Tiit Sepp (Data Analyst, STACC: Software Technology and Applications Competence Center)
- 13.04 -- A/B testing in marketing
- 20.04 -- Uplift Modeling
- 27.04 -- Fraud Detection
- 04.05 -- Reinforcement Learning + Recommendation Systems
- 11.05 -- Knowledge Graphs
- 18.05 -- Fairness and Explainability
- 25.05 -- Business Analytics in Practice: The Case of Swedbank (guest lecturer: Veronika Plotnikova)