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A brief description of the article -
Time Series Modeling, as the name suggests, involves working on time-based data to derive hidden insights to make informed decision making. Time series models are very useful models when you have serially correlated data. Most of business houses work on time series data to analyze sales number for the next year, website traffic, competition position and much more.
If you want to understand the complete process of time series modeling, this guide would introduce you to various levels of time series modeling and its related techniques - such as Dickey-Fuller test, ARIMA modelling & forecasting and its derivative techniques.