Time Series & Forecasting
Predicting what comes next from data over time: trend, seasonality, ARIMA, Prophet and deep-learning forecasters.
Beginner
Start here. No background needed beyond school maths.
Forecasting: Principles and Practice (3rd edition, R)
The standard free textbook on forecasting: trend and seasonality, exponential smoothing, ARIMA, regression with time series and how to judge a forecast, with worked examples in R.
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Forecasting: Principles and Practice (Python edition)
The same textbook rewritten with Python code, so you can follow every method with pandas and statsforecast instead of R.
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Prophet: Quick Start
Fit a forecasting model with trend, yearly and weekly seasonality and holiday effects in a few lines of Python or R, then plot and check the forecast. A gentle first forecasting tool.
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