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On-site training

Available topics

Below is a list of possible topics. The list is not exhaustive; it is simply intended to help you tell us your training needs. If you do not see what you need, just ask. You may customize any of our existing courses with the topics below or build your own original course. Our expert instructors are available to help you design a course around your needs.

View our existing courses.


  • Stata basics
    • Keeping organized
    • Knowing how Stata treats data
    • Using dialog boxes efficiently
    • Using the Command window
    • Saving time and effort while working


  • Data management
    • Reading in datasets of various standard formats, such as those from spreadsheets or databases
    • Labeling variables and setting up encoded variables
    • Generating new variables in an efficient fashion, including leading, lagging, generating statistics within groups, and working across variables
    • Combining datasets by adding observations and by adding variables
    • Reshaping datasets for repeated measurements
  • Workflow
    • Using menus and the Command window to work quickly
    • Setting up Stata to one’s liking
    • Keeping complete records of what is done inside Stata
    • Creating reproducible analyses, which are completely documented
    • Finding, installing, and removing community-contributed extensions to Stata
    • Customizing how Stata starts up and where it looks for files
  • Analysis
    • Using basic statistical commands
    • Reusing results of Stata commands
    • Using common postestimation commands, such as those that test hypotheses about linear or nonlinear combinations of coefficients, generate fitted values, or look at marginal effects
    • Working with interactions and factor variables
  • Graphics
    • Making common, simple graphs
    • Building up complex graphs
    • Using the Graph Editor


  • Specialized data
    • Reading flat files, such as those distributed by various branches of the federal government
  • Customized output
    • Putting Stata results (not just data) into files that can be read into other applications
  • Advanced Stata usage
    • Extending Stata by writing new commands in the ado language
    • Writing help files using SMCL
    • Sharing community-contributed commands over the web
    • Sharing datasets over the web
  • Advanced graphics
    • Making highly customized graphs
    • Writing schemes to control the default look of graphs

Specialized analyses

  • Bootstrapping (resampling)
  • Cluster and discriminant analysis
  • Do-it-yourself maximum-likelihood estimation
  • Multilevel mixed models
  • Multiple imputation
  • Multivariate methods
  • Panel (cross-sectional time-series) data
  • Sample-size calculations
  • Survey data
  • Survival analysis
  • Time series

Contact us for more information.





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