• Online, Self-Paced
Course Description

Time series modeling is a common forecasting method, such as making stock market predictions. It has made its way into many varied applications, including inventory management and healthcare. Explore the features of time series modeling.

Learning Objectives

Introduction to Time Series

  • start the course
  • identify key characteristics of time series forecasting
  • distinguish between stationary time series and nonstationary time series data
  • recognize the various components of time series data

Time Series Forecasting Models

  • identify features of autoregressive models
  • identify features of moving average models
  • identify features of ARMA models
  • identify various steps required to make a forecast

Practice: Time Series Modeling Concepts

  • apply time series modeling concepts

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • All-Source Analysis
  • Data Administration
  • Systems Analysis