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