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Time Series Forecasting

Master time series analysis and forecasting.

Course Duration: 10 hours​

What You'll Learn​

  • Time series fundamentals
  • Statistical methods
  • Deep learning approaches
  • Trend and seasonality
  • Multi-step forecasting
  • Production deployment

Prerequisites​

  • Python programming
  • ML basics
  • Statistics

Course Modules​

  1. Introduction to Time Series
  2. Exploratory Time Series Analysis
  3. Stationarity and Differencing
  4. ARIMA/SARIMA
  5. Exponential Smoothing
  6. Facebook Prophet
  7. LSTM for Time Series
  8. Transformer Models (Temporal Fusion)
  9. Multi-variate Forecasting
  10. Anomaly Detection
  11. Evaluation Metrics
  12. Project: Stock Price Prediction

Libraries Covered​

  • Prophet
  • statsmodels
  • PyTorch Forecasting
  • Darts