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.
55/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
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