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Course Outline
Introduction
Stata and Big Data
- Overview of Stata.
- Understanding Stata syntax and commands.
R Programming
- Overview of R.
- Understanding R syntax and structure.
Preparing the Development Environment
- Installing and configuring Stata.
- Installing and configuring R libraries and frameworks.
Integrating R and Stata
- Reading from and writing to Stata using R.
Databases and Data Management in Stata
- Opening and clearing databases.
- Compressing databases for efficiency.
- Importing and exporting databases.
- Viewing, describing, and summarizing raw data.
- Utilizing tabulations and tables.
- Implementing variables for effective data manipulation.
Descriptive and Predictive Analysis
- Conducting distributional analysis.
- Performing Monte Carlo simulations.
- Analyzing count data.
- Conducting survival analysis.
Hypothesis Testing
- Testing and comparing means.
Graphing in Stata
- Creating plots, charts, and graphs.
- Integrating statistical analysis within graphing techniques.
- Styling and combining graphs for enhanced presentation.
Regression Models with R
- Utilizing bivariate correlation and regression.
- Working with OLS regression, logits, and probits.
- Applying interactive effects in regression models.
Summary and Conclusion
Requirements
- A foundational understanding of data analysis concepts.
Audience
- Data Analysts.
35 Hours
Testimonials (1)
a multitude of points
