Stata
Graduate · CS / Programming
Syllabus focus
Standard syllabus · STEM / applied
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.
Topics typically covered
Standard syllabus
Stata fundamentals
- Do-files, logs, and reproducible workflows
- Importing Excel, CSV, and survey formats
- Variable types, labels, and value labels
- generate, replace, egen, and recode
- merge, append, and reshape (wide/long)
Analysis commands
- Descriptive statistics and tables
- Graphs: histogram, scatter, regression fit
- OLS regression: reg, margins, and predictions
- Hypothesis tests and confidence intervals
- Panel data: fixed and random effects (intro)
STEM / applied
Applied econometrics
- Instrumental variables and 2SLS (intro)
- Difference-in-differences and event studies (intro)
- Logit/probit for binary outcomes
- Survey weights and svy commands (intro)
- Exporting tables for publication (esttab/outreg)
Data engineering in Stata
- Loops, macros, and programmable workflows
- Mata matrix programming (intro)
- Cleaning messy administrative data
- Replicating published tables from raw data
- Integrating Stata output with LaTeX/Word reports
Notes
Common in economics, policy, and public health programs. Command syntax is Stata-specific.