3322 - Time Series Forecasts - 2019
Issued by
GAIn® - The Global AI network
Every business needs a unique forecasting perspective depending on the granularity and variability of the data, seasonality, trends, and forecast horizon. Our forecast training provides you with a lens to critically identify where to implement and improve forecasting in your organization. This course provides basic and advanced modeling tools to develop your own data-driven forecast system using real-life cases. As well as perform these techniques practically and make forecasts in Python.
Skills
Earning Criteria
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Overview of forecasting – Understand and explain the importance and essential principles of forecasting.
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Basic forecasting techniques – Perform basic forecasting techniques and make a data decomposition.
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Forecasting metrics and validation techniques – Complete k-fold cross-validation using correct metrics.
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Advanced forecasting techniques – Perform advanced forecasting techniques and understanding what techniques to use depending on the situation.
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Deviation management as part of model management – Make a deviation analysis based on a comparison of the forecast to the actuals.
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Exam