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Time Series Analysis (ARIMA) with R

Coursera Project Network via Coursera

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Overview

Class Central Tips
In this project, you will learn to conduct a thorough analysis of a time series data using ARIMA. The project explains the basic concepts of time series analysis and illustrates the same with hands-on activity on R Studio. It describes the types of time series data and its distinct components. The project covers how to conduct diagnostic tests to check for core assumptions of ARIMA, evaluating model process and orders from ACF, PACF graphs. Finally, it derives best fit model to forecast future values.

Syllabus

  • Project Overview
    • Welcome to Time Series Analysis (ARIMA) with R. In this guided project, you will learn to conduct a thorough analysis of a time series data using ARIMA. The project explains the basic concepts of time series analysis and illustrates the same with hands-on activity on R Studio. It describes the types of time series data and its distinct components. The project covers how to conduct diagnostic tests to check for core assumptions of ARIMA, evaluating model process and orders from ACF, PACF graphs. Finally, it derives best fit model to forecast future values.

Taught by

Barsha Saha

Reviews

4.5 rating at Coursera based on 11 ratings

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