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ARIMA Models in R

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Certification

ARIMA Models in R

How to fit ARIMA (autoregressive integral movement average) models to time series data using R.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

ForecastingTime Series ModelingData ModelingR ProgrammingR Packages

Learning Goals

In this course, you will become an expert in fitting ARIMA models to time series data using R
You will explore the nature of time series data using the tools in the R stats package
You will learn how to check the validity of an ARIMA model and you will learn how to forecast time series data
You will learn how to fit ARIMA models to seasonal data, including forecasting using the astsa package

Course Content

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Prerequisites/Requirements

Time Series Analysis in R

Instructors

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David Stoffer

Professor of Statistics at the University of Pittsburgh

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

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Course Cover

₹1,093

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