Time series anlaysis and forecasting are huge right now. With the enormous business applications that can be created using time series forecasting, it becomes crucial to dive into depth of this subject.

In this video i talk about the following things which are absolutely essential before learning time series models:
1)Stationarity ,
2)Why is stationarity required and how to convert non stationary time series into stationary
3)Seasonality and how to remove seasonality from a time series
4) We will also look at various time series plots to master the skills of identifying if a times series is stationary or not

Recommended Books to get better at Time Series Analysis and Python:

1)Practical Time Series Analysis: [ Ссылка ]
2)Time Series with Python: [ Ссылка ]
3)Hands-On Time Series Analysis with R: [ Ссылка ]

You can connect with me on linkedin at :[ Ссылка ]

Leave any queries in the comments section and thanks for watching !

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