Course · 2 ways to learn

Time Series

Build intuition for forecasting — decomposition, ACF/PACF, stationarity, and ARIMA — as interactive concepts plus guided deep dives.

Who it's for

Analysts and data-science learners who want to *see* how forecasting works.

What you'll learn

  • Decompose a series into trend, seasonality, and residual
  • Read ACF and PACF plots
  • Understand stationarity and differencing
  • See how AR, MA, and ARIMA models are built and diagnosed

Course contents

  1. 01Anatomy & decomposition
  2. 02Autocorrelation — ACF & PACF
  3. 03Stationarity & differencing
  4. 04Modelling — ARIMA and beyond