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10 Ways you can use Python in Excel for Forecasting
In FP&A, forecasting is more than just predicting numbers — it’s about providing actionable insights that drive strategic decisions.
Yet, many teams struggle to fully visualize and analyze their forecasts due to the limitations of traditional tools like Excel.
Now that Python arrived to Excel, you can leverage it to improve your forecasts.
Read this one first to know how to get Python into Excel:
These are the 10 ways, first as a summary and then I’ll explain each one in more detail.
And if you want the Excel file with the Python code to create the visuals, just comment “I want to learn Forecasting with Python in Excel” or message me via LinkedIn.
This is a picture of the Excel file:
And this is the TLDR summary:
✅ Automated Forecast Accuracy Analysis: Python can calculate and visualize the variance between actuals and forecasts across multiple periods, helping you pinpoint trends and improve models.
✅Advanced Forecast Visualizations: Create layered visualizations like confidence intervals, heatmaps, and dynamic charts that aren’t as easily built in Excel alone.
