Your do-file, the log file showing the error, the assignment brief or research question, and one line on what you have already tried. That way the session goes on the problem rather than on setup.
Stata does not hold your hand. One wrong option in a regression command and it returns a result that looks perfectly reasonable and is completely wrong. Our online Stata tutors work inside your own do-file, line by line, so you get Stata help on the exact model you are submitting and understand what every command is doing and why you chose it.

Most Stata problems are not statistics problems. They are a merge that silently dropped 400 observations, a categorical variable Stata is treating as continuous, or standard errors that ignore your clustered design. We find those with you, in your own do-file, in real time.
Tutors Who Work in Stata Daily
Our Stata tutors come from economics, epidemiology and policy research backgrounds. They write do-files for their own work, so they know the failure modes that never appear in a textbook.
Your Do-File, Your Session
Share your screen and we debug the actual code. You will leave understanding your own script rather than holding a corrected file you cannot explain.
Reproducibility Built In
Learn to write do-files and logs that run start to finish on a clean machine, which is what supervisors, journals and replication packages increasingly demand.
Stata is used differently in every discipline. A labour economist lives in panel data, an epidemiologist in survival models, a policy student in survey weights. We match you with an online Stata tutor who works in your field, so the session starts with your model, not a generic tutorial.
OLS through IV and panel estimators for problem sets, term papers and thesis chapters.
Logistic and survival models, survey data and clean tables for clinical and population studies.
Event studies, firm-level panels, winsorising and clustered errors for empirical finance work.
Weighted survey analysis, interaction effects and marginal effects you can explain in a viva.
Pick the stage where your project stalled. Everything below is something students bring to a session, from a merge that quietly dropped half the sample to a regression that runs fine and answers the wrong question.
Get Excel, CSV, Sav or fixed-width data into Stata without mangling dates, dropping leading zeros or importing numbers as strings.
import excel · import delimitedUse the merge variable properly and read _merge afterwards, so you notice when 400 observations quietly failed to match.
merge · joinby · _mergeMove between wide and long format for panel or repeated-measures work, and fix the errors reshape throws when your IDs are not unique.
reshape long · reshape wideHandle missing codes such as 99 or -999 before they enter your means, and build derived variables that survive a rerun.
recode · egen · genLabel variables and categories so your output and tables read properly instead of showing v17 and a column of bare numbers.
label define · label valuesCollapse, aggregate and run commands across groups without writing the same line twenty times.
bysort · collapseSpecify the model, use factor variable notation for categories and interactions, and read the output with confidence.
regress · i.var · c.var##c.varChoose between logit, probit and multinomial models, and understand why raw coefficients are not the answer to your question.
logit · probit · mlogitDeclare your panel, weigh fixed against random effects, and know what the Hausman test does and does not settle.
xtset · xtreg, fe · hausmanWork through instrument choice, first-stage strength and weak instrument tests when OLS will not identify the effect.
ivregress 2sls · estat firststageApply robust, clustered or bootstrapped errors to match your design, rather than reporting whichever Stata gave you by default.
vce(robust) · vce(cluster id)Declare complex survey designs so weights, strata and clustering are carried into every estimate you report.
svyset · svy: regressDecode the classics, from no observations to type mismatch to varlist not allowed, and learn what each one is really pointing at.
r(2000) · r(109) · r(101)Find out why your regression N is far lower than your sample, usually listwise deletion on a variable you forgot about.
misstable summarizeUnderstand why Stata omitted a term for collinearity and whether that is harmless or a sign the model is misspecified.
omitted · estat vifTest for heteroskedasticity, serial correlation and functional form instead of hoping the marker does not ask.
estat hettest · estat ovtestA coefficient with the wrong sign or an impossible magnitude usually traces back to coding, scaling or a bad merge, not the model.
codebook · summarize, detail · tab _mergeGet commands such as estout, outreg2 or reghdfe installed and running when your network or university machine blocks them.
ssc installStructure a script that runs top to bottom on a clean machine, so your results are reproducible rather than a memory of what you clicked.
do · log usingTurn coefficients into predicted probabilities and marginal effects you can state in a sentence a non-economist understands.
margins · marginsplotExport publication-ready tables straight into Word or LaTeX instead of retyping coefficients and introducing errors.
esttab · outreg2Build and format graphs that meet your department's presentation standards and export cleanly at the right resolution.
twoway · graph exportReplace forty near-identical lines with a loop, which cuts both your typing and the copy-paste mistakes that come with it.
foreach · forvalues · localPractise explaining your estimation strategy and diagnostics so you can answer a supervisor or viva panel without hesitating.
estat ic · test · lincomNot sure which stage your problem sits at? Send us your do-file and log, and we will tell you before you book.
Your session can focus on one urgent question or form part of a longer learning plan. Common areas of support include:
Create an account on our platform powered by Teachworks LMS by sharing your academic needs, availability, and learning preferences.
Receive your secure login credentials and access your personalized student portal to manage your sessions, tutors, and learning progress.
Book your session, complete your secure payment via Stripe, and join your live, interactive lesson to begin your learning journey.
Leave with clearer priorities, suggested practice and the option to book further sessions.
Free tutorials teach commands. They cannot see your dataset. Here is where a private Stata tutor saves the most time.
| What you need | YouTube and forums | Online courses | Private Stata tutor |
|---|---|---|---|
| Fix an error in your own do-file | Search and hope it matches | Not covered | Debugged live on your screen |
| Choose the right model | Conflicting advice | General rules only | Matched to your research question |
| Interpret output for your write-up | Rarely | Generic examples | Explained line by line on your results |
| Deadline in days, not weeks | Slow | Self-paced modules | Book a session around your schedule |
| Prepare to defend your analysis | No | No | Practice the questions your supervisor will ask |
Ideal for students needing help with basic or entry-level college material.
Tailored support for core and elective undergraduate courses.
Designed for master's level coursework and capstone projects.
Elite academic coaching for doctoral-level work and publications.

Tell us what you are estimating, where the code breaks or the results look wrong, and when you are free. Attach the do-file, the log and the brief if you have them. We will read it before we reply and match you with a tutor who works in your area.
No guaranteed grades. No completed assignments. Educational tutoring only.
What Our Students Say
Feedback from students across the UK and US we have supported with Stata software, statistical analysis and research projects.
Working across more than one package, or switching from one to another? Our tutors cover the full research toolkit.
Point-and-click analysis, syntax and output tables for SPSS users.
SPSS help for students →R scripts, tidyverse, ggplot2 and reproducible R Markdown reports.
Find an RStudio tutor →Qualitative coding, themes and queries for interview and focus group data.
Get NVivo help →Methodology, analysis chapters and supervisor feedback, start to finish.
Dissertation support →Online Stata tutoring starts at $60 per hour for Foundation Year students, $75 for undergraduates, $85 for graduate students and $100 for PhD and research work. You pay per session, with no package required.
Yes. Many students book one session to fix a specific error or check a model before a deadline. You can book more sessions later if you need them.
Yes. Your tutor walks through the problem with you, explains the commands and output, and checks your reasoning. We do not complete graded work for you.
Our Stata tutoring covers data management, do-file writing, regression and panel data estimation, diagnostics, interpreting results with margins, and exporting publication-ready tables. Sessions are built around your own dataset and code rather than generic worked examples.
Send us your do-file, your dataset if you can share it, and a description of what is going wrong. We read it before replying, match you with a Stata tutor from the right field, and book a live session at a time that suits you.
Recent versions of Stata BE, SE and MP on Windows, Mac and Linux, including university licences. Mention your version when you book, since some commands and options differ between releases and a few community commands from SSC need installing first.
That is the most common reason students book Stata support. A merge that dropped observations, a variable Stata is reading as a string, or missing values coded as 99 will all produce output that looks fine and means nothing. We trace it with you so you can spot it yourself next time.
Yes. Stata dissertation support usually covers choosing an estimation strategy, justifying it in your methodology, running diagnostics and presenting results. The analysis stays your own work, guided by a tutor who explains the reasoning.
Not at all, and it is a very common starting point. Sessions can begin with the logic of do-files and Stata syntax before touching anything advanced. Most students find the command line faster than menus within a few weeks.
Your do-file, the log file showing the error, the assignment brief or research question, and one line on what you have already tried. That way the session goes on the problem rather than on setup.
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