Get in Touch
 Duration 35 hours

Course Outline

Introduction to Stata

  • Overview of Stata and its use cases.
  • Comparison of Stata with SPSS and R.
  • Stata syntax, commands, and workflow structures.

Environment Configuration

  • Installation and setup of Stata.
  • Review of RStudio and R libraries for integration purposes.

Data Management within Stata

  • Data import and export procedures.
  • Data cleaning and transformation techniques.
  • Efficient handling of large datasets.

Statistical Analysis using Stata

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

Graphing and Visualization in Stata

  • Creation of charts, plots, and graphs.
  • Customizing visual outputs for reporting.

Integration of Stata and R

  • Data exchange between Stata and R.
  • Executing Stata commands from R.
  • Automating statistical workflows across both tools.

Advanced Concepts

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

Case Studies and Practical Applications

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

Summary and Future Steps

Requirements

  • Familiarity with SPSS for statistical analysis
  • Competence in R programming

Target Audience

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

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories