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Duration 14 hours
Course Outline
Introduction
Stata and Big Data
- Overview of Stata capabilities.
- Exploring Stata syntax and command structures.
Setting Up the Development Environment
- Installation and configuration of Stata.
Datasets and Data Management
- Opening and cleaning datasets for analysis.
- Techniques for compressing datasets.
- Importing and exporting data files.
- Viewing, describing, and summarizing raw data.
- Utilizing tabulations and table generation.
- Applying distributional analysis techniques.
- Creating variables to facilitate data manipulation.
- Saving data effectively.
- Working with core commands.
Graphing in Stata
- Creating plots, charts, and graphical representations.
- Applying distributional analysis within graphing contexts.
- Styling and combining multiple graphs for comprehensive visualization.
Statistics and Regression Analysis
- Employing bivariate correlation and regression methods.
- Working with OLS regression, logits, and probits.
- Incorporating interactive effects into regression models.
Summary and Conclusion
Requirements
- Foundational knowledge of data science principles.
Intended Audience
- Data Analysts.
Testimonials (1)
Data management, reporting and statistics concepts.
