Intro to Time Series Analysis in R
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.
Time Series Forecasting
Time Series Models
Box Jenkins Method
Statistical Hypothesis Testing
由 JB 提供Sep 10, 2020
This guided project is very easy to follow. The basic concepts in time series are explained really well without overwhelming the learner.
由 FS 提供Jan 8, 2021
Great summary of time series modelling. The external tool is a bit annoying but the course is great. The student start by downloading all materials and then use RStudio Cloud.
由 FG 提供Oct 20, 2020
Exceptional! A background in basic statistics (hypothesis test and regression) . as well as a basic understanding of R is a nice-to-have. But not mandatory.
由 JK 提供Oct 25, 2020
That was a great course, now i really know more on Time series