Public training schedule
Learn Stata from StataCorp’s experts. These two-day courses take place in Washington, DC, and are ideal for researchers and individuals who want to learn more or gain a deeper understanding of Stata.
Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals
January 11–12, 2016 • March 8–9, 2016 • April 26–27, 2016
Aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata, this course teaches you to use Stata in a reproducible manner, making collaborative changes and follow-up analyses much simpler.
Time-Series Analysis Using Stata
February 8–9, 2016
Learn how to efficiently use Stata for time-series analysis. Topics include data management, estimation of univariate and multivariate stationary and nonstationary time series, model selection, hypothesis testing, and interpretation.
Structural Equation Modeling Using Stata
March 10–11, 2016
Learn how to illustrate, specify, and estimate structural equation models in Stata using Stata’s SEM Builder and the sem command. The course introduces several types of models, including path analysis, confirmatory factor analysis, full structural equation models, and latent growth curves.
Handling Missing Data Using Multiple Imputation
April 21–22, 2016
Learn all aspects of multiple-imputation (MI) analysis, including creation of MI data using the multivariate normal and chained-equations (or fully conditional specification) imputation methods, manipulation of MI data, and analysis of MI data.
