Univariate Time Series Analytics & Modeling with EViews
Completed by Ramil Baylarov
March 5, 2026
4 hours (approximately)
Ramil Baylarov's account is verified. Coursera certifies their successful completion of Univariate Time Series Analytics & Modeling with EViews
What you will learn
Identify the characteristics of univariate time series data and interpret correlograms using EViews.
Analyze autocorrelation and partial autocorrelation to determine appropriate univariate time series models.
Interpret ARMA estimation results and evaluate parameter significance using statistical diagnostics in EViews.
Assess model adequacy by analyzing residual correlograms and applying the Ljung-Box Q test.
Skills you will gain
- Category: Exploratory Data Analysis
- Category: Statistical Hypothesis Testing
- Category: Data Analysis
- Category: Correlation Analysis
- Category: Forecasting
- Category: Statistical Methods
- Category: Data Analysis Software
- Category: Time Series Analysis and Forecasting
- Category: Model Evaluation
- Category: Statistical Software
- Category: Verification And Validation
- Category: Analysis
