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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
Testimonials (1)
a multitude of points