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Course Outline
Introduction
Stata and Big Data
- Overview of Stata
- Understanding Stata syntax and core commands
Setting Up the Development Environment
- Installation and configuration of Stata
Datasets and Data Management
- Loading and cleaning datasets
- Techniques for compressing datasets
- Importing and exporting data files
- Exploring, describing, and summarizing raw data
- Utilizing tabulations and tables for analysis
- Applying distributional analysis methods
- Defining and manipulating variables for data processing
- Data persistence and saving procedures
- Advanced usage of Stata commands
Visualization in Stata
- Creating plots, charts, and graphs
- Applying distributional analysis within graphical outputs
- Customizing styles and combining multiple graphs
Statistical Analysis and Regression
- Executing bivariate correlation and regression analysis
- Applying OLS regression, logits, and probits
- Modeling interactive effects within regression frameworks
Wrap-up and Conclusions
Requirements
- Foundational knowledge of data science concepts
Target Audience
- Data Analysts
14 Hours
Testimonials (1)
Data management, reporting and statistics concepts.
