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Course Outline
Introduction
Stata and Big Data for Government
- Overview of Stata
- Stata syntax and commands
R Programming for Government
- Overview of R
- R syntax and structure
Preparing the Development Environment for Government
- Installing and configuring Stata
- Installing and configuring R libraries and frameworks
Integration of R and Stata for Government
- Reading and writing to Stata with R
Databases and Data Management in Stata for Government
- Opening and clearing databases
- Compressing databases
- Importing and exporting databases
- Viewing, describing, and summarizing raw data
- Using tabulations and tables
- Implementing variables for data manipulation
Descriptive and Predictive Analysis in Stata for Government
- Conducting distributional analysis
- Performing Monte Carlo simulations
- Analyzing count data
- Conducting survival analysis
Hypothesis Testing in Stata for Government
- Testing and comparing means
Graphical Representation in Stata for Government
- Creating plots, charts, and graphs
- Incorporating statistical analysis in graphing
- Styling and combining graphs
Regression Models with R for Government
- Using bivariate correlation and regression
- Conducting OLS regression, logits, and probits
- Incorporating interactive effects in regression models
Summary and Conclusion for Government
Requirements
- A comprehensive understanding of data analysis for government
Audience
- Data Analysts in the public sector
35 Hours
Testimonials (1)
a multitude of points