Time Series Forecasting

Description:

The Time Series Forecasting course provides students with the foundational knowledge to build and apply time series forecasting models in a variety of business contexts. You will learn: The key components of time series data and forecasting models How to use ETS (Error, Trend, Seasonality) models to make forecasts How to use ARIMA (Autoregressive, Integrated, Moving Average) models to make forecasts Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx. This course is part of the Business Analyst Nanodegree Program.