Learning Objectives

• What is Time Series Decomposition
• Why Time Series Decomposition
• Time Series Decomposition - Implementation
• Notebook

What is Time Series Decomposition?

• Time series decomposition involves considering a series as a combination of trend, seasonality, and noise components.
• Don’t worry about some of the terms that are not familiar to you. You will get to know them as you progress through the course.
• Decomposition provides a useful abstract model for thinking about time series generally and for better understanding problems during time series analysis and forecasting.

Why Time Series Decomposition?

​ In the video below, the instructor discusses time series decomposition in detail and its implementation using a real-world dataset. ​ ​

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Notebook

​ https://github.com/srivatsan88/End-to-End-Time-Series/blob/master/TimeSeries_Decompose.ipynb