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Duration 35 hours
Course Outline
Introduction
Stata and Big Data
- Overview of Stata
- Stata syntax and command structure
R Programming
- Overview of R
- R syntax and structural elements
Setting Up the Development Environment
- Installing and configuring Stata
- Installing and configuring R libraries and frameworks
Integrating R and Stata
- Reading from and writing to Stata using R
Databases and Data Management in Stata
- Opening and managing database sessions
- Database compression techniques
- Importing and exporting database files
- Reviewing, describing, and summarising raw data
- Utilising tabulations and tables
- Implementing variables for data manipulation
Descriptive and Predictive Analysis
- Analysing data distributions
- Conducting Monte Carlo simulations
- Analysing count data
- Performing survival analysis
Hypothesis Testing
- Testing and comparing statistical means
Visualisation in Stata
- Creating plots, charts, and graphs
- Incorporating statistical insights into graphs
- Styling and combining multiple graphs
Regression Modelling with R
- Applying bivariate correlation and regression
- Implementing OLS regression, logistic, and probit models
- Utilising interactive effects within regression models
Summary and Conclusion
Requirements
- Fundamental knowledge of data analysis
Target Audience
- Data Analysts
Testimonials (1)
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