Statistical Analysis with Stata is a comprehensive course designed to equip participants with the necessary skills to analyse data effectively using the Stata statistical software. This course covers a wide range of topics, including data management, manipulation, basic statistical routines, graphics, and regression analysis.
Curriculum
- 5 Sections
- 29 Lessons
- 7 Weeks
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- Introduction to Stata7
- 1.1Introduction to the Stata Environment, Help Files, and Third-Party Packages
- 1.2Using Do-Files: Commenting for Documentation
- 1.3Importing Data from Excel, CSV, and Public Data Sources
- 1.4Understanding Data Structure: Wide vs Long
- 1.5Cleaning the Dataset: Handling Missing Values, Recoding, Renaming, and Labeling
- 1.6Utilizing Loops for Efficient Data Processing
- 1.7Using Log Files for Reproducible Research
- Data Manipulation in Stata8
- 2.1Generating New Variables: gen, egen, xtiles
- 2.2Utilizing the by Command for Group-wise Operations
- 2.3Logical Expressions for Data Filtering and Manipulation
- 2.4Using preserve and restore for Data Management
- 2.5Keeping or Dropping Variables as per Analysis Requirements
- 2.6Creating Dummy Variables for Categorical Data
- 2.7Combining Datasets Using Different Techniques
- 2.8Using the collapse Command for Aggregation
- Basic Statistical Routines4
- Graphics in Stata3
- Regression Analysis in Stata7
- 5.1Model Specification for Regression Analysis
- 5.2Using the reg Command for Regression Modelling
- 5.3Handling Analytical Weights for Complex Survey Data
- 5.4Estimating Standard Errors: Robust, Cluster, and Bootstrap Methods
- 5.5Incorporating Interaction Terms in Regression Models
- 5.6Analyzing Marginal Effects using margins and marginsplot commands
- 5.7Exporting Regression Results to .docx or LaTeX using esttab
