Time Series Analysis and Forecasting with R
About This Course
participants will learn
- Visualization of univariate and multivariate time series data
- Tests for stationarity of time series variables
- Co-integration analysis: Engle and Granger, Phillip Ouliaris and Johansen Approaches
- Auto-regressive Distributed Lag Approach to Cointegration Analysis
- Forecasting univariate and multivariate time series the practical aspects of time series data
Learning Objectives
Visualization of univariate and multivariate time series data
Tests for stationarity of time series variables
Co-integration analysis: Engle and Granger, Phillip Ouliaris and Johansen Approaches
Auto-regressive Distributed Lag Approach to Cointegration Analysis
Forecasting univariate and multivariate time series the practical aspects of time series data
Material Includes
- Course handouts
- WI-fi
- Software
- Writing materials
- Certificate
- Post-training assistance
Requirements
- Laptop
Target Audience
- Students, Academia, Researchers, Policy Analysts, Policy Makers,