IOT deployments typically generate data by recording the output of sensors or IOT devices at regular intervals of time. Hence the very nature of capturing continuous data on a scale of time makes time series the apt data structure for capturing IOT data. The temporal nature of time series allows us to actually do a good approach to perform correlation between the same data stream but at different points. This course covers the basics of Time Series Modelling for continuous stream of data captured at regular intervals of time. It also covers the popular ARIMA modelling technique for forecasting streaming data in time series form.
- Understanding IOT Basics.