Time Series Analysis and Forecasting

Time series analysis and forecasting is a statistical technique used to analyze and forecast data points collected over time. Time series data is a sequence of observations recorded at regular intervals over time, such as daily stock prices or monthly sales figures. Time series analysis involves modeling the underlying patterns in the data and forecasting future values based on these patterns.

A collection of available online resources:

• Forecasting: Principles and Practices (R). Rob J. Hyndman and George Athanasopoulos.
• Time Series Analysis with Python Cookbook. Tarek A. Atwan.
• Time Series Forecasting in Python. Marco Peixeiro.
• Time Series Analysis and its Applications in R. David S. Stoffer. (2nd. Edition )
• Time Series Made Easy in Python: DARTS

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Created: 03/23/2023; Updated: 03/23/2023; Carlos Lizárraga