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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Python in Excel: How to check Benford’s Law with Copilot
Numbers don’t spread out evenly across digits. In many real datasets, the leading digit “1” shows up about 30% of the time while “9” hardly appears. That’s Benford’s Law. If your numbers don’t follow …
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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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Python in Excel: How to do k-nearest neighbors with Copilot
K-Nearest Neighbors (KNN) is a straightforward and powerful analytical tool that helps you make predictions by looking at the most similar cases or "neighbors" in your data. It's intuitive because it …
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Python in Excel: How to build decision trees with Copilot
Decision trees are intuitive analytical tools that help us explore and predict outcomes by asking simple, branching questions about our data. They're popular because they're visual, easy to interpret, …
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