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Data and databases

Time Series Analysis & Forecasting

The planned outline of 16 modules. Lessons are written, run and reviewed before they are published.

Coming soon 16 modules

Coming soon. This track is being written. Below is its planned outline: a lesson appears here once its examples have been run and its technical review is signed off.

Before this track

Planned outline

  1. Module 1

    Foundations: time series and the forecasting task

    Coming soon
  2. Module 2

    Transformations and decomposition

    Coming soon
  3. Module 3

    Autocorrelation, features and the frequency view

    Coming soon
  4. Module 4

    Stationarity, differencing and unit roots

    Coming soon
  5. Module 5

    Baselines, accuracy and backtesting

    Coming soon
  6. Module 6

    Exponential smoothing and ETS

    Coming soon
  7. Module 7

    ARIMA and seasonal ARIMA

    Coming soon
  8. Module 8

    Regression, dynamic regression and complex seasonality

    Coming soon
  9. Module 9

    Indian festivals, financial years and official calendars

    India-specific Coming soon
  10. Module 10

    State-space models and the Kalman filter

    Coming soon
  11. Module 11

    Multivariate series, causality, volatility and regimes

    Coming soon
  12. Module 12

    Hierarchies, reconciliation and intermittent demand

    Coming soon
  13. Module 13

    Machine-learning forecasting

    Coming soon
  14. Module 14

    Deep learning and foundation models for forecasting

    Coming soon
  15. Module 15

    Anomaly and change detection

    Coming soon
  16. Module 16

    Forecasting in practice, production and interviews

    Coming soon

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Official documentation

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