Intro to Time Series Analysis in R
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this 2 hour long project-based course, you will learn the basics of time series analysis in R. By the end of this project, you will understand the essential theory for time series analysis and have built each of the major model types (Autoregressive, Moving Average, ARMA, ARIMA, and decomposition) on a real world data set to forecast the future. We will go over the essential packages and functions in R as well to make time series analysis easy.
Syllabus
- The Essentials of Time Series Analysis Made Easy Using R
- Welcome to this project-based course on time series analysis in R. In this project, you will learn the basics of time series analysis in just under two hours! We will cover both the essential theory and model types within time series such as AR, MA, ARMA, ARIMA, and decomposition models. After the project you will be able to analyze time series data, fit a model, and make forecasts of the future.
Taught by
Vinod Bakthavachalam
Related Courses
Statistics OnePrinceton University via Coursera Introduction to Computational Finance and Financial Econometrics
University of Washington via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Análisis Estadístico de datos con R
Universidad Católica de Murcia via Miríadax Data Analysis with R
Facebook via Udacity