Take your BI skills further with advanced modules in forecasting, scenario simulation, and data optimization techniques applied to engineering operations and logistics. This course provides a comprehensive introduction to advanced analytics techniques for business intelligence, with a focus on forecasting, optimization, and simulation. Participants will learn how to build and apply time series forecasting models using ARIMA and Prophet, and use linear programming methods to optimize inventory and resource planning. The course also covers what-if analysis and Monte Carlo simulation to model uncertainty in business scenarios. Learners will integrate Python scripts within Power BI to enhance analytical capabilities and develop interactive dashboards for forecasting and scenario analysis. Through practical applications, the course helps learners apply data-driven techniques to support strategic decision-making.