Time Series Analysis & Forecasting

Learn to analyse temporal data and build forecasts in Python — and to audit the forecasting code AI tools now write for you. This course covers datetime handling and resampling in pandas, trend and seasonality decomposition, autocorrelation, baseline and classical models (exponential smoothing, ARIMA), ML-based forecasting with lag and rolling features, and backtesting without temporal leakage, using a realistic daily e-commerce orders dataset throughout. For practitioners comfortable with Python and pandas.

Lessons are AI-assisted and human-reviewed. Learn more.