Session
Forecasting with Python in Power BI
DAX is a powerful language for data analysis in Power BI, but when it comes to forecasting, you quickly run into its limitations. Fortunately, the Python integration in Power BI and Power Query offers a solution.
In this technical deep dive, you'll learn how to build forecasting models using Python.
You will discover:
How to integrate Python into Power Query
The fundamentals of Time Series Forecasting: trend, seasonality, and residuals
The importance of stationarity
Classic models such as Differencing, Autocorrelation, AutoRegression (AR), Moving Average (MA), ARIMA, and SARIMA
Modern tools like Facebook Prophet
Arthur Graus
Power BI / MS Fabric Trainer | Consultant | Developer
Eindhoven, The Netherlands
Links
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