About Course
Course Overview
A practical, analytics‑driven course that teaches learners how to use statistical models, financial data, and forecasting techniques to predict revenue, costs, cash flow, and business performance. The course covers time‑series analysis, scenario planning, budgeting models, variance analysis, and data‑driven financial decision‑making used in modern organisations.
Target Audience
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Finance professionals and FP&A teams
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Business analysts and data analysts
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Managers responsible for budgeting and planning
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Students or career switchers entering financial analytics
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Professionals supporting strategic and operational forecasting
Course Outcomes
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Understand core forecasting concepts, models, and financial metrics
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Build revenue, cost, and cash‑flow forecasting models
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Apply time‑series techniques such as moving averages and exponential smoothing
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Use historical data to identify trends, seasonality, and patterns
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Perform scenario planning, sensitivity analysis, and what‑if modelling
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Interpret forecasting dashboards and variance reports
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Use analytics to support budgeting, planning, and financial decision‑making
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Communicate forecast insights clearly to finance and leadership teams
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