<p>This course will be an overview of:</p> <ul> <li>Analytics foundation and techniques: The evolution of financial analytics, the analytics capability pyramid, and core techniques including descriptive, diagnostic, predictive, and prescriptive analytics.</li> <li>Advanced analytical methods: Statistical techniques, machine learning models, continuous monitoring, data visualization, and fraud detection through anomaly identification.</li> <li>Application of analytics to financial decision making: Machine learning for forecasting, professional skepticism in analytics-driven audits, risk-adjusted frameworks, and data governance protocols.</li> <li>Implementation and ethical considerations: Transition road map, ethical guardrails and governance, real-world case studies, and actionable steps for financial leaders.</li> </ul>