Market Analysis and Trend Forecasting with Data

You will gain the applied data skills needed to turn multiple evidence streams into defensible forecasts and prioritized market recommendations. This course covers data assembly, cleaning, and harmonization for time-series and cross-sectional indicators, followed by practical forecasting techniques such as moving averages, exponential smoothing, and estimation of forecast uncertainty and confidence ranges. You'll learn to calculate critical market sizing metrics—including TAM, SAM, and SOM—while producing year-over-year growth metrics to identify high-velocity opportunities. The curriculum tea…