Time Series Analysis and Forecasting with R

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Last Update June 19, 2024
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About This Course

participants will learn

  1. Visualization of univariate and multivariate time series data
  2. Tests for stationarity of time series variables
  3. Co-integration analysis: Engle and Granger, Phillip Ouliaris and Johansen Approaches
  4. Auto-regressive Distributed Lag Approach to Cointegration Analysis
  5. 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,

Your Instructors

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20,000.0060,000.00

67% off
Level
Intermediate
Duration 21 hours

Material Includes

  • Course handouts
  • WI-fi
  • Software
  • Writing materials
  • Certificate
  • Post-training assistance

Course categories

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