Module 1 : Introduction to Time Series Data

Module 2: Components of Time Series

Module 3: Stationarity and Transformations'

Module 4: Cleaning and Pre-processing Time Series Data

Module 5: Visualization of Time Series Data

Module 6: Fitting time-dependent data

Module 7 - Structural breaks and advanced stationarity

Module 8: Forecasting with Moving Averages and Smoothing Methods

Module 9 - Introduction to Machine Learning

Module 10: Machine Learning for Time Series Forecasting