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This tutorial introduces the Wolfram Language framework for computing with time series data. Starting from the basics of time series representation and simple transformations such as plotting, smoothing and resampling, the tutorial also explores more advanced topics like forecasting, fitting random process models and simulating scenarios.

The tutorial does not focus on any particular discipline but is relevant for anyone interested in financial analysis, biological or environmental science, the social sciences or any field with time-related data.
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