Forecasting & Scenario Development with AI

О курсе

By the end of this course, you will break a time series into trend, seasonality, and noise, measure forecast quality with metrics like MAE and MAPE, generate AI-assisted forecasts with clear rules for when to override them, and build probability-weighted scenarios and sensitivity tables that frame the range of outcomes leadership must weigh. These are the skills that turn an analyst into a trusted decision-support partner — someone who can answer the executive's "what if?" in the room, not a week later. You will learn to produce forecasts leadership can rely on and to stress-test the assumptions behind them. What makes this course unique is its focus on judgment over computation. You will not write a line of code or need a statistics background; instead, you learn when to trust a method, which drivers actually move the numbers, and how to curate a wide set of AI-generated scenarios down to the short, defensible list executives can act on. Every method is demonstrated on a realistic case company you carry through the program.

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