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 do price elasticity analysis with Copilot
Understanding how price changes affect customer demand is one of the most valuable insights you can bring to your business. This concept, known as price elasticity of demand, helps answer practical …
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Copilot in Excel: How to do social influencer analysis with Python
Understanding who your most influential customers are—those who consistently recommend your business—is essential for sustainable, cost-effective growth. This approach, called social influencer …
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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 feature engineering with Copilot
Feature engineering involves transforming raw data into meaningful variables to enhance machine learning models. It includes creating new features, encoding categorical data, and scaling or …
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