-67%
Time Series Analysis and Forecasting with R
Learn the practical aspects of time series that are most …
What you'll 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
-20%
Productivity Analysis: DEA Approach
Learn how to improve the workflow of your productivity analysis …
-20%
Intermediate Data Analysis Using R Programming Language
This is a hands-on workshop, and all methods will be …
