Treasury Analytics Notebook Hub

Set up the notebook environment and prepare the treasury dataset for later forecasting and anomaly detection exercises.

Work through cash fragmentation concepts and explore how treasury visibility changes with account structure and timing assumptions.

Apply forecasting workflows to treasury signals and compare how scenario assumptions affect predictive behavior over time.

Use neural-network-based anomaly detection to discuss monitoring, false positives, and escalation in treasury operations.

Build treasury dashboards and visual summaries that help students turn raw analytics into management-ready evidence.

Extend the workflow into deployment and advanced model configuration to discuss how prototypes move toward production.

Run the end-to-end practical sequence when the class is ready for a full treasury analytics walkthrough.

Use the support notebook to troubleshoot installs, environment resets, and common classroom setup issues.