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Course Outline
Introduction
Stata and Big Data
- Understanding Stata.
- Stata syntax and commands.
R Programming
- Understanding R.
- R syntax and structure.
Preparing the Development Environment
- Installing and configuring Stata.
- Installing and configuring R libraries and frameworks.
R and Stata Integration
- Reading and writing data with Stata using R.
Databases and Data 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 Analysis and Predictive Analysis
- Conducting distributional analysis.
- Conducting Monte Carlo simulations.
- Conducting count data analysis.
- Conducting survival analysis.
Hypothesis Testing
- Testing and comparing means.
Graphing in Stata
- Utilizing plots, charts, and graphs.
- Applying statistical analysis to graphing.
- Styling and combining graphs.
Regression Models with R
- Utilizing 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.
Audience
- Data Analysts.
35 Hours
Testimonials (1)
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