11
Time Series & Forecasting
Classical and deep learning methods for temporal data
4 lessons185 min totaladvanced
1
Time Series Fundamentals
Components, stationarity, autocorrelation, and proper train/test splitting
2 exercisesQuiz40m
2
Classical Forecasting Methods
ARIMA, SARIMA, exponential smoothing, and Prophet
2 exercisesQuiz50m
3
Deep Learning for Time Series
LSTM, GRU, sequence-to-sequence, and temporal convolutional networks
2 exercisesQuiz50m
4
Modern Forecasting Methods
Transformer-based models, N-BEATS, foundation models, and probabilistic forecasting
2 exercisesQuiz45m