This follow-up 50-minute session builds on the fundamentals of time-series forecasting with Prophet, providing a deep dive into advanced capabilities and practical applications. Attendees will learn how to fine-tune and customize Prophet models to handle complex forecasting challenges, such as:

Incorporating external factors like holidays or special events to refine predictions.

Adjusting seasonality and trend parameters for improved accuracy.

Visualizing forecast components (trend, seasonality, and residuals) to uncover actionable insights.

Using real-world examples, this session will demonstrate how to:

Handle missing data scenarios with interpolation techniques.

Save forecasted results into the Lakehouse for integration into dashboards or further analysis.

Participants will gain hands-on experience with the Prophet library’s features, including detailed explanations of its underlying statistical models. The session will also cover best practices for interpreting forecasts and presenting results to stakeholders. With a focus on real-world applications, attendees will leave equipped to apply these techniques confidently in their own projects.