Business Intelligence and Predictive Analytics

Course objectives

• Move deliberately from descriptive through diagnostic to predictive analysis
• Prepare data, which is where most project effort actually goes
• Apply the main forecasting and classification approaches
• State the assumptions a chosen method carries
• Validate with holdout testing and recognise overfitting
• Operationalise a prediction and monitor it for drift
• Govern a forecast that people start treating as fact

Who should attend

• Analysts and business intelligence developers
• Data and reporting managers
• Finance and operations professionals doing forecasting
• Planning and demand management staff
• Technology staff supporting analytics

Course outline

1. 01From describing the past to estimating the future
2. 02Data preparation and where the effort goes
3. 03Forecasting approaches and their assumptions
4. 04Classification approaches
5. 05Validation and holdout testing
6. 06Overfitting and why a perfect fit is a warning
7. 07Operationalising and monitoring for drift
8. 08Governing a forecast treated as fact

Scheduled sessions