Statistical Analysis with Stata and Integration with R

• Experience using SPSS for statistical analysis
• Proficiency in R programming

Audience

• Computer science professionals
• Data scientists and researchers working with statistical models
• Analysts looking to integrate Stata with R

Stata is a powerful statistical software package widely used for econometric and social science research. While R is an open-source programming language for statistical computing, Stata provides a structured environment with built-in statistical tools and commands.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Stata

• Overview of Stata and its applications.
• Comparison of Stata with SPSS and R.
• Stata syntax, commands, and workflows.

Setting Up the Environment

• Installing and configuring Stata.
• Review of RStudio and R libraries for integration.

Data Management in Stata

• Importing and exporting data.
• Data cleaning and transformation.
• Managing large datasets efficiently.

Stata for Statistical Analysis

• Descriptive statistics and summary tables.
• Probability distributions and hypothesis testing.
• Regression analysis: linear, logistic, and multivariate models.

Graphing and Visualization in Stata

• Creating charts, plots, and graphs.
• Customizing visualizations for reports.

Stata and R Integration

• Reading and writing data between Stata and R.
• Calling Stata commands from R.
• Automating statistical workflows between the two tools.

Advanced Topics

• Macros and loops in Stata.
• Using Stata for predictive modeling.
• Programming in Stata (do-files, ado-files).

Case Studies and Practical Applications

• Real-world applications in research and data science.
• Integrating Stata with R in academic and industry projects.

Summary and Next Steps