Applied Time Series Analysis and Forecasting in Python

Job-Ready Skills for the Real World

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Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting

What you will learn

Encounter special types of time series like White Noise and Random Walks.

Learn about accounting for “unexpected shocks” via moving averages.

Start coding in Python and learn how to use it for statistical analysis.

Comprehend the need to normalize data when comparing different time series.

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