Forecasting and Predictive Analytics Methods Pack

Coursera MOOC / Non-credit USD 49

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Forecasting and Predictive Analytics Methods Pack

About this course

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.

What you'll learn

perform scenario analysis using Excel
apply Monte Carlo simulation techniques
execute time series forecasting methods like ETS and ARIMA
utilize machine learning for predictive analytics in Python
leverage Power BI for forecasting
implement Generative AI in planning and decision-making

Course objectives

develop skills in financial modeling and forecasting
enhance decision-making capabilities using predictive analytics
understand and mitigate uncertainty in business scenarios

Skills you'll gain

python data-driven decision making machine learning generative ai power bi financial modeling monte carlo simulation arima time series forecasting predictive analytics scenario analysis forecasting models ETS quantifying uncertainty value drivers

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