In this 100-minute session, attendees will dive into the practical use of the Prophet library for time-series forecasting within Python, leveraging Microsoft Fabric. The session begins with an introduction to Prophet, explaining its capabilities for handling trends, seasonality, and holidays. Participants will:

Learn how to prepare and clean time-series data for analysis.

Explore how to build forecasting models using Prophet’s intuitive API.

Understand how to visualize forecast results, including confidence intervals and key trends.

Attendees will also discover techniques for customizing forecasts, such as adding holiday effects or adjusting parameters for seasonality. Real-world case studies will demonstrate how to apply Prophet to solve challenges like predicting sales, website traffic, or operational metrics. One example will include addressing a real-world issue where a couple of months of data were missing due to supplier changes. Prophet was used to forecast the missing data, enabling a complete trend analysis and ensuring accurate insights despite the gap.