Time Series Analysis, Forecasting, and Machine Learning

Course content

  • Welcome
  • Getting Set Up
  • Time Series Basics
  • Exponential Smoothing and ETS Methods
  • ARIMA
  • Vector Autoregression (VAR, VMA, VARMA)
  • Machine Learning Methods
  • Deep Learning: Artificial Neural Networks (ANN)
  • Deep Learning: Convolutional Neural Networks (CNN)
  • Deep Learning: Recurrent Neural Networks (RNN)
  • VIP: GARCH
  • VIP: AWS Forecast
  • VIP: Facebook Prophet
  • Setting Up Your Environment FAQ
  • Extra Help With Python Coding for Beginners FAQ
  • Effective Learning Strategies for Machine Learning FAQ
  • Appendix / FAQ Finale