ARIMA Models in R

Name: ARIMA Models in R
Brand: Careervira
Price: 98 SGD
Availability: InStock
Rating: 1 (1 reviews)

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will show you how to fit ARIMA model into time series data using R. Next you will learn how to use R package astsa to fit different ARMA model into simulated data (where you will identify the correct model). Once you have mastered the basics, you will be able to apply integrated ARMA/ARIMA models to various data sets. You will learn how to validate ARIMA models and forecast time series data. Learn how to use seasonal data to fit ARIMA models. Forecasting with astsa is also possible.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Time Series Analysis in R

What You Will Learn

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

Expand all sections

Module 1: Time Series Data and Models

Module 2: Fitting ARMA models

Module 3: ARIMA Models

Module 4: Seasonal ARIMA

Course Instructors

David Stoffer

Professor of Statistics at the University of Pittsburgh

David Stoffer is a Professor of Statistics at the University of Pittsburgh. He is member of the editorial board of the Journal of Time Series Analysis and Journal of Forecasting. David is the coautho...