Time-Series Analysis & Regression Forecasting with Python



Transform raw data into powerful forecasts with Python—learn time-series modeling, regression, real-world forecasting.


What you will learn

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Time-series concepts, notations, and use cases. Data loading, preprocessing, and feature engineering using Python.

Visualizing time-series data for insights. Forecasting using AR, MA, ARIMA, and SARIMA models.

Handling seasonality and trend components in data. Performing train-test splits and model validation correctly.

Applying linear regression (simple and multiple) for forecasting. Interpreting regression outputs and evaluating model accuracy.

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