• Time-series analysis and forecasting

    After completing the topic learners will be able to obtain forecast using multivariate Prophet model.

    Overview of this topic:

    • Overview of time-series forecasting methods
    • Importance of backtesting in evaluating forecasting models
    • Distinction between univariate and multivariate forecasting models
    • Consideration of forecasting errors in model evaluation
    • Utilization of different error metrics for model comparison
    • Benefits and features of Prophet forecasting model
    • Components and characteristics of Prophet model for accurate forecasts

    Instructions for learning activities:
    1. Learn from slides & notes;
    2. Try R code in posit.cloud or RStudio;
    3. Take a quiz: Big Data TEST D (it involves Topic #7 too);
    4. For support use chatbot bellow or chat with the notes.