If you work in finance, accounting, or a related field, chances are you’ve had to put together a forecast... and then explain why you built it the way you did. Excel makes that process feel …
Python in Excel: How to understand the random walk with Copilot
As an Excel analyst, you've probably had moments where your data seemed to show clear trends,profits rising, sales dropping, or costs climbing steadily. But sometimes, these apparent patterns might …
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Copilot in Excel: How to build ARIMA forecasts with Python
ARIMA (short for AutoRegressive Integrated Moving Average) is a classic statistical model for time series forecasting. It works by combining three elements: autoregression (using past values to …
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Copilot in Excel: How to build exponential smoothing forecasts with Python
Forecasting is a constant challenge for Excel users. Business data doesn’t just grow in straight lines... it shifts with trends, cycles, and noise. Exponential smoothing is a family of methods that …
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Python in Excel: How to visualize seasonality
Visualizing seasonality is a critical analytical skill in business because many essential metrics like sales, revenue, or demand often follow predictable seasonal patterns. Understanding these …
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Advanced analysis with Python in Copilot: How to work with time series data
Time series analysis lets analysts identify patterns, trends, and cyclic fluctuations over time. These insights are essential for accurate forecasting, strategic planning, and informed …
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