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.