AI Data Science, Business Intelligence and Decision Systems

Learning outcomes

• ◆Frame business decisions as analytical problems
• ◆Build and evaluate supervised learning models
• ◆Communicate uncertainty and model limitations
• ◆Validate models for bias, drift and robustness

14-week syllabus

1. Week 1Decisions, data and uncertainty
2. Week 2Exploratory analysis and data quality
3. Week 3Regression and causal thinking
4. Week 4Classification and evaluation metrics
5. Week 5Trees, ensembles and feature importance
6. Week 6Unsupervised learning
7. Week 7Time series and forecasting
8. Week 8Midterm examination
9. Week 9Experimentation and A/B testing
10. Week 10Explainability methods
11. Week 11Business intelligence and dashboards
12. Week 12Model validation and monitoring
13. Week 13Decision systems and optimisation
14. Week 14Capstone: decision system build and final examination