Course Outline:

Module 1: Introduction to E-Views

• Overview of E-Views and its applications in econometrics
• Navigating the E-Views interface: menus, toolbars, and workspaces
• Setting up a project and understanding file types
• Practical Exercise: Creating a new project and exploring the interface

Module 2: Data Management in E-Views

• Importing data from various sources (Excel, CSV, etc.)
• Data manipulation: sorting, filtering, and transforming data
• Creating and managing series and groups
• Practical Exercise: Importing and cleaning a dataset

Module 3: Basic Statistical Analysis

• Descriptive statistics and summary measures
• Conducting hypothesis tests and interpreting results
• Visualization tools: charts and graphs in E-Views
• Practical Exercise: Performing descriptive statistics and visualizing data

Module 4: Econometric Modeling

• Introduction to regression analysis and model estimation
• Estimating linear regression models using E-Views
• Assessing model fit and conducting diagnostic tests
• Practical Exercise: Estimating a regression model and interpreting output

Module 5: Forecasting and Time Series Analysis

• Basics of time series data and forecasting methods
• Conducting time series analysis in E-Views: ARIMA and exponential smoothing
• Generating forecasts and evaluating forecast accuracy
• Real-life Project: Building a forecasting model using historical data