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

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