Time Series Modelling in Python Training
A time series is a sequence of data points indexed in time order and taken at successive equally spaced points in time. Time series are used in statistics, econometrics, quantitative finance, signal processing, pattern recognition, weather forecasting, astronomy, communications engineering, and many other domains of applied science and engineering which involves temporal measurements. Time series analysis deals with methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values of the time series based on previously observed values.
We design bespoke training courses in time series analysis for organisations. Depending on the needs of the organization and the participant profile, the course generally starts with learning the fundamentals of statistical inference and then goes on to learning the various time series analysis and forecatsing models using Python.