Online Course on Time Series Forecasting with applications

In this course you will learn about Time Series Forecasting methods which includes classical Time Series Forecasting as well as advance techniques using Facebook prophet.

Course Duration: 15 Days

Course Fee: 2000 INR

Medium: Online

Topics to be covered

  • What is Forecasting
  • Forecasting with Regression
  • Issues with Regression
  • What is Times Series Forecasting
  • Components of Time Series
  • Methods of Time Series Forecasting
  • Auto Regression (AR)
  • Moving Average (MA)

Projects on the following methods using Python

  • Autoregressive Moving Average (ARMA)
  • Autoregressive Integrated Moving Average (ARIMA)
  • Seasonal Autoregressive Integrated Moving-Average (SARIMA)
  • Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors (SARIMAX)
  • Vector Autoregression (VAR)
  • Vector Autoregression Moving-Average (VARMA)
  • Vector Autoregression Moving-Average with Exogenous Regressors (VARMAX)
  • Simple Exponential Smoothing (SES)
  • Holt Winter’s Exponential Smoothing (HWES)

Please feel free to contact us by filling the below contact form.

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