Classroom and web-based training courses

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Classroom and web training

What are training courses?

Courses led by StataCorp experts that are offered two ways—in classrooms and web based. Training courses are ideal for researchers and individuals who want to learn or have a deeper understanding of Stata.

Available courses

Course title	Location	Session	Price
Using Stata effectively: Data management, analysis, and graphics fundamentals	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	13–16 June 2023 11:00 a.m. to 3:00 p.m. CDT (4:00 p.m. to 8:00 p.m. UTC) Enrollment deadline 6 June	$995	Enroll Limited to 24
Multilevel/mixed models using Stata	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	19–22 June 2023 11:00 a.m. to 2:30 p.m. CDT (4:00 p.m. to 7:30 p.m. UTC) Enrollment deadline 12 June	$1,395	Enroll Limited to 24
Using Stata effectively: Data management, analysis, and graphics fundamentals	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	10–13 July 2023 11:00 a.m. to 3:00 p.m. CDT (4:00 p.m. to 8:00 p.m. UTC) Enrollment deadline 6 June	$995	Enroll Limited to 24
Panel-data analysis using Stata	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	25–28 July 2023 11:00 a.m. to 2:30 p.m. CDT (4:00 p.m. to 7:30 p.m. UTC) Enrollment deadline 18 July	$1,395	Enroll Limited to 24
Using Stata effectively: Data management, analysis, and graphics fundamentals	Washington, DC	15–16 August 2023 8:30 a.m.–4:30 p.m. EDT Enrollment deadline 10 August	$995	Enroll Limited to 24
Time-series analysis using Stata	Washington, DC	17–18 August 2023 8:30 a.m.–4:30 p.m. EDT Enrollment deadline 12 August	$1,395	Enroll Limited to 24
Survival analysis using Stata	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	28–31 August 2023 11:00 a.m. to 2:30 p.m. CDT (4:00 p.m. to 7:30 p.m. UTC) Enrollment deadline 21 August	$1,395	Enroll Limited to 24
Causal inference using Stata: Estimating average treatment effects	Web based Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches; follow along in your printed notes; ask the instructor questions; and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are divided into three- to four-hour sessions that take place over consecutive days.	18–21 September 2023 11:00 a.m. to 2:30 p.m. CDT (4:00 p.m. to 7:30 p.m. UTC) Enrollment deadline 11 September	$1,395	Enroll Limited to 24
Survey data analysis using Stata	Washington, DC	17–18 October 2023 8:30 a.m.–4:30 p.m. EDT Enrollment deadline 12 October	$1,395	Enroll Limited to 24
Handling missing data using multiple imputation	Washington, DC	19–20 October 2023 8:30 a.m.–4:30 p.m. EDT Enrollment deadline 14 October	$1,395	Enroll Limited to 24

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

Classroom training

Join us for a public training course in a classroom setting. Our expert instructors will teach you to use Stata or one of Stata's advanced statistical procedures. Follow the discussion in your printed copy of the course notes, and work examples using Stata on the classroom computers.

Classroom training courses run from 8:30 a.m. to 4:30 p.m. on two consecutive days. A continental breakfast, lunch, and an afternoon snack will also be provided.

For more details, see our classroom training FAQs.

Cancellation policy

Web-based training

Web-based training offers the same great content as our classroom training. And just like our classroom training, web-based training is designed to be interactive. Watch and listen from your computer as the instructor teaches, follow along in your course notes, ask the instructor questions, and work examples using Stata. The differences are that you attend web-based training courses in the comfort of your own home or office and that courses are typically divided into three- to four-hour daily sessions with five-minute breaks every hour and time to work on independent exercises.

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. Learn more about how our web-based training courses work, watch a video demonstration, find technical requirements for participating, and read our frequently asked questions.
Learn more »

Cancellation policy

Course descriptions

Introduction to Bayesian analysis using Stata
Learn about Bayesian analysis and how to perform it in Stata. The course will cover fundamental Bayesian concepts and contrast them with classical frequentist concepts. You will learn about Bayesian statistics, including how to construct and estimate posterior distributions, select priors, and perform Bayesian inference. You will become familiar with Bayesian computation using Markov chain Monte Carlo (MCMC) methods and with how to investigate convergence and efficiency of MCMC. You will learn how to compute various posterior summaries, compare Bayesian models, and perform Bayesian hypothesis testing. You will also learn how to fit Bayesian regression models to different types of outcomes. By the end of the course, you should be comfortable performing basic Bayesian analysis in Stata. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Causal inference using Stata: Estimating average treatment effects
Learn how and when to use Stata’s treatment-effects estimators to analyze treatment effects in observational data. Use regression adjustment, inverse probability weights, doubly robust methods, propensity-score matching, and covariate matching to estimate average treatment effects (ATEs) and ATEs on the treated. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using Stata. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Customized tables using Stata
Learn how to incorporate results such as summary statistics or regression results into tables and into complete reports. Upon completion of this course, customize the layout, formatting, and style of tables and export them to Word®, Excel®, LaTeX, HTML, and other formats. You will also be able to incorporate tables into full reports, including Stata results, graphs, and customized text in Word and Excel. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Handling missing data using multiple imputation
Learn the fundamentals of multiple imputation for regaining power lost by missing data. The course covers all aspects of using multiple-imputation (MI) analysis interactively. Topics include creation of MI data using the multivariate-normal and chained-equations (aka fully conditional specification) imputation methods, manipulation of MI data, and analysis of MI data. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Multilevel/mixed models using Stata
Measure and account for clustering and grouping at multiple levels. Whether linear or nonlinear, multilevel modeling allows for random intercepts and slopes at multiple levels, reducing the problems of too-much or too-little data aggregation. The course is interactive, uses real data, offers ample opportunity for specific research questions, and provides exercises to reinforce what you learn. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Panel-data analysis using Stata
Learn both the theory and the 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 nonlinear models. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Regression modeling using Stata
Regression modeling is a fundamental tool for researchers who want to establish causal quantitative relationships from observational data. Learn the theoretical concepts necessary to understand regression models and how to implement them using Stata. With the assistance of the instructor, you will reinforce those concepts with exercises and examples. (detailed description)
Length: 1 full day (classroom) or 2 half days (web based)

Structural equation modeling using Stata
Learn how to illustrate, specify, and estimate structural equation models in Stata, using both 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. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Survey data analysis using Stata
Set up and analyze data from complex survey designs. The course covers the sampling methods used to collect survey data and how they affect the estimation of totals, ratios, and regression coefficients. The course also covers Stata's support for many survey variance estimators, including linearization, balanced and repeated replications (BRR), and jackknife. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Survival analysis using Stata
Learn how to effectively analyze survival-time data and prepare data for survival analysis, compute descriptive statistics, create life tables, obtain Kaplan–Meier curves, and fit both semiparametric (Cox) regression and parametric regression models. Discover how to set the survival-time characteristics of your dataset just once and then use many of Stata's survival-time estimators and summary statistics commands with those data. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Time-series analysis using Stata
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. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

Using Stata effectively: Data management, analysis, and graphics fundamentals
Aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata, this course enables you to use Stata in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Exercises will supplement the lectures and Stata examples. (detailed description)
Length: 2 full days (classroom) or 4 half days (web based)

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Classroom and web training

What are training courses?

Available courses

Classroom training

Web-based training

Stay connected

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Classroom and web training

What are training courses?

Available courses

Classroom training

Web-based training

Stay connected

We use cookies

Privacy policy

Required cookies

Advertising and performance cookies