Univariate Time Series Analytics & Modeling with EViews
Completed by Viti Sachdeva
September 20, 2026
4 hours (approximately)
Viti Sachdeva'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: Data Analysis
- Category: Statistical Hypothesis Testing
- Category: Exploratory Data Analysis
- Category: Verification And Validation
- Category: Analysis
- Category: Time Series Analysis and Forecasting
- Category: Model Evaluation
- Category: Statistical Modeling
- Category: Statistical Methods
- Category: Correlation Analysis
- Category: Forecasting
- Category: Data Analysis Software
