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Duration 35 hours
Course Outline
Introduction
Stata and Big Data
- Overview of Stata
- Stata syntax and command structure
R Programming
- Introduction to R
- R syntax and code structure
Setting Up the Development Environment
- Installation and configuration of Stata
- Installing and configuring R libraries and frameworks
Integrating R and Stata
- Reading from and writing to Stata using R
Database and Data Management in Stata
- Opening and clearing databases
- Compressing database files
- Importing and exporting data sets
- Viewing, describing, and summarizing raw data
- Utilizing tabulations and tables
- Implementing variables for data manipulation
Descriptive and Predictive Analysis
- Conducting distributional analysis
- Performing Monte Carlo simulations
- Analyzing count data
- Applying survival analysis techniques
Hypothesis Testing
- Testing and comparing means
Graphing with Stata
- Creating plots, charts, and graphs
- Applying statistical analysis within graphing functions
- Styling and combining multiple graphs
Regression Modeling with R
- Utilizing bivariate correlation and regression
- Working with OLS regression, logistic regression, and probit models
- Incorporating interactive effects in regression models
Summary and Wrap-up
Requirements
- Foundational knowledge of data analysis principles
Intended Audience
- Data Analysts
Testimonials (1)
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