Stata training and workshops

Connect with SDAS and other training providers to learn Stata, statistics and advanced data analytics through workshops, professional training and short courses.

Survey Design and Analysis Services provides tailored training in Stata, WordStat, QDA Miner and Stat/Transfer. We also list relevant classroom-based and virtual training courses offered by third-party organisations. Let us know if you would like us to list your training or courses.

SDAS Free Workshops

A First Look at Stata

A free introductory workshop at the University of Fiji

In this free workshop we will give you a first look at the Stata interface, the steps to import data from Excel, take a quick look at the important tools to examine your data and then introduce the beginnings of data analysis.

Mon, 12 Oct 2026
10:00am - 12:00pm NZST
University of Fiji

This free workshop is designed for students and other new users to Stata. We will introduce the interface, shows you how to import data from Excel and introduces some of the most important data analysis features that you will use. These are:

  • Summarize
  • Table
  • Histogram and
  • Scatter plot

We will then introduce the basics of data analytics, namely the linear regression model in Stata and the Student t-test.

SDAS Training

Automated Reporting in Stata

Wednesday 28 Oct 2026
Melbourne

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Automated ReportingA course designed to help you share your results from your data research quicker

This is a one-day hands-on course focusing on the various tools available in Stata for automated reporting. The morning session introduces the putdocx command to create Word documents from within Stata, and in the afternoon we cover the use of markdown in Stata, using the dyndoc command which allows you to produce html files.

HURRY! SEATS ARE LIMITED. Low cost rate of A$300 inc GST.

Students or bulk registration call now for discount pricing.

External Classes

Introduction to Stata for Epidemiological Research

Tue, 13 Oct 2026
Sofitel Resort & Spa, Fiji

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Join an Introduction to Stata workshop led by Dr. Amanda Eng (Massey University) at the AEA 2026 Annual Scientific Meeting. A hands-on workshop covering Stata, data management, descriptive statistics, and basic epidemiological analysis through guided exercises with a real dataset. You will leave able to write basic Stata commands, manage data, summarise findings, and run simple epi analyses. No Stata experience needed, though basic epidemiology knowledge is helpful.
An Introduction to Time Series Panel Data

Wed, 28 Oct 2026 - Thu, 29 Oct 2026
Virtual

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Explore dynamic and static panel time series models with hands-on Stata applications. This two-day online course introduces participants to time series panel data models, focusing on key challenges such as slope heterogeneity, structural breaks, and cross-sectional dependence. Through intuitive instruction and hands-on Stata exercises, attendees will learn to estimate and interpret static and dynamic models for large panels in applied economics contexts.
Multilevel/mixed models using Stata

Tue, 17 Nov 2026 - Fri, 20 Nov 2026
Virtual

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This course introduces multilevel/mixed modeling for nested and longitudinal data and its implementation in Stata. Mixed models contain both fixed effects, analogous to regression coefficients, and random effects, effects that vary across clusters. Participants will learn how to use mixed models to answer research questions about the observation- and cluster-level data and how to disaggregate these effects. Introductory theory, estimation, model building, and diagnostics will be discussed and demonstrated through many examples.
Applied Longitudinal Data Analysis

Mon, 18 Jan 2027 - Fri, 22 Jan 2027
Online

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This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. Exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses.
Data Analysis using Stata

Mon, 18 Jan 2027 - Fri, 22 Jan 2027
Online

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This 5-day course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers.
Seriously Applied Regression Analysis

Mon, 1 Feb 2027 - Wed, 3 Feb 2027
Online

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Multiple regression is a statistical workhorse of the social sciences. This three-day short course is designed for participants who want to strengthen their understanding of regression analysis and apply it confidently in academic research. Participants may use the statistical package they prefer. The course notes support users of SPSS, Stata and R.
Structural equation modeling using Stata

Tue, 23 Feb 2027 - Fri, 26 Feb 2027
Virtual

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This course introduces structural equation modeling and its implementation in Stata. Stata allows for fitting structural equation models in two ways—by using the command syntax or using the SEM Builder to draw path diagrams. Examples will demonstrate both approaches, starting with linear regression up to confirmatory factor analysis and growth curve modeling. Model identification and evaluation will also be extensively discussed. The course concludes with a brief introduction to multilevel models and generalized linear models within the SEM framework.
Panel-data analysis using Stata

Tue, 18 May 2027 - Fri, 21 May 2027
Virtual

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This course provides an introduction to the theory and practice of panel-data analysis. After introducing the fixed-effects and random-effects approaches to unobserved individual-level heterogeneity, the course covers linear models with exogenous covariates, linear models with endogenous variables, dynamic linear models, and some nonlinear models. A quick introduction to the generalized method of moments estimation technique is also included. The differences between the individual-specific and population-averaged interpretations are discussed throughout the course. Concepts are extensively illustrated using exercises and examples worked in Stata.