This Specialization equips you with advanced forecasting and predictive analytics techniques used in modern finance and business strategy. You’ll progress from Excel-based financial modeling and scenario analysis to Monte Carlo simulation, time series forecasting (ETS, ARIMA), machine learning in Python, Power BI forecasting, and Generative AI–enabled planning. By the end, you will be able to build, validate, stress-test, and optimize forecasting models that quantify uncertainty, uncover value drivers, and support strategic decision-making.
Applied Learning Project
Throughout the Specialization, you will complete hands-on forecasting projects using Excel, Power BI, Python, Monte Carlo simulation, time series models, and Generative AI tools. You’ll build revenue forecasts, construct probabilistic risk models, evaluate forecast errors, apply machine learning to predict business metrics, and develop AI-enhanced financial planning frameworks. These projects simulate real-world financial and strategic decision-making scenarios, requiring you to quantify uncertainty, validate assumptions, and communicate actionable insights to stakeholders.
