Time Series Forecasting

About This Course

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 Predictive Analytics for Business Nanodegree Program.

Why Take This?

Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. Making forecasts using advanced analytics is crucial in today’s data-driven economy. In this course, you’ll learn how to use advanced forecasting models to predict the future. You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly. This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.

Prerequisites and Requirements

- No programming experience required. - Interested in using data to make better business decisions. - Alteryx license (provided to Nanodegree students at no cost, compatible with Windows only)
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.