Statistical Forecasting via Excel Implementation
The curriculum covers various forecasting methodologies, ranging from standard linear regression to more complex models like Winter's Method and the Bass Diffusion Model for new product lifecycles.
Instruction includes essential data preprocessing steps such as outlier treatment and missing value imputation, alongside technical training on using Excel features like Solver and Pivot tables.
While the course integrates career-readiness elements through role-play scenarios, a single historical signal suggests potential gaps in explaining specific statistical requirements for regression models.









