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 Duration 35 hours

Course Outline

Introduction

Stata and Big Data

  • Overview of Stata
  • Stata syntax and command structures

R Programming

  • Overview of R
  • R syntax and architecture

Preparing the Development Environment

  • Installation and configuration of Stata
  • Installation and configuration of R libraries and frameworks

Integration of R and Stata

  • Data exchange between R and Stata

Database and Data Management in Stata

  • Initializing and resetting database sessions
  • Optimizing database storage efficiency
  • Importing and exporting database files
  • Inspecting, profiling, and summarizing raw data
  • Utilizing tabulations and frequency tables
  • Defining variables for data manipulation

Descriptive and Predictive Analytics

  • Conducting distributional analysis
  • Implementing Monte Carlo simulations
  • Analyzing count data
  • Performing survival analysis

Hypothesis Testing

  • Statistical testing and comparison of means

Data Visualization in Stata

  • Generating plots, charts, and graphical representations
  • Integrating statistical analysis with graphical output
  • Formatting and composing complex graphs

Regression Modeling with R

  • Applying bivariate correlation and regression analysis
  • Implementing OLS regression, logistic, and probit models
  • Modeling interactive effects in regression frameworks

Summary and Conclusion

Requirements

  • Foundational understanding of data analysis principles

Intended Audience

  • Data Analysts

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