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Basic statistics in Stata

$1,395 4 days (3 to 4 hours daily)

Are you learning statistics for the first time or in need of a refresher? Master the fundamentals with this hands-on course in Stata. You will learn how to describe and visualize data, perform essential analyses like correlation, t tests, and linear regression, and confidently interpret your results using p-values and confidence intervals.

The course will be interactive, use real data, and offer ample opportunity for working exercises to reinforce what is learned. By the end of the course, you will be able to confidently conduct and understand your own statistical analysis.

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Upcoming sessions

Basic statistics in Stata
Web based
17–20 February 2026
$1,395

We offer a 15% discount for group enrollments of three or more participants

All prices USD.

Inform me of the next session ↓

Course leaders

Chris Cheng portrait

Chris Cheng

Senior Econometrician

Chris Cheng is a Senior Econometrician at StataCorp LLC. He has a master's degree in economics and a PhD in agricultural and managerial economics from Texas A&M University. He has worked with technical support since 2019. Chris frequently interacts with users about technical questions and gives webinars and training courses. His interests focus on demand analysis, panel-data analysis, and other econometrics.

Meghan Cain portrait

Meghan Cain

Assistant Director, Educational Services

Meghan Cain is the Assistant Director of Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.

Prerequisite

Course topics

  • Statistical inference
    • Hypothesis testing
    • Sampling distributions
    • Confidence intervals
    • p-values
  • Describing data
    • Data structures
    • Data types
    • Summary statistics
    • Graphics
  • Association
    • Continuous variables
      • Scatterplots
      • Correlation
    • Factor variables
      • Bar charts
      • Contingency tables
      • Tests for association
  • Mean comparison
    • z test
    • t test
      • One-sample
      • Two-sample
      • Paired samples
    • ANOVA
      • One-way
      • Two-way
      • Contrasts and comparisons
  • Regression
    • Simple linear regression
      • The model
      • Interpreting results
      • Assumptions and diagnostics
      • Robust standard errors
    • Categorical predictors and interactions
    • Postestimation
      • Marginal analysis
      • Test combinations of parameters
      • Model comparison
    • Reporting results

Notes

Enrollment is limited.

Web-based training courses are four-day courses that run for three to four hours daily with hourly breaks. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all the course datasets so that you can easily follow along.

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Future sessions

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