We discussed time series analysis in this tutorial, which has given us the understanding that time series models first recognize the trend and seasonality from the existing observations and then forecast a value based on this trend and seasonality. Such analysis is useful in various fields such as −
Financial Analysis − It includes sales forecasting, inventory analysis, stock market analysis, price estimation.
Weather Analysis − It includes temperature estimation, climate change, seasonal shift recognition, weather forecasting.
Network Data Analysis − It includes network usage prediction, anomaly or intrusion detection, predictive maintenance.
Healthcare Analysis − It includes census prediction, insurance benefits prediction, patient monitoring.