Services  /  SPSS training

SPSS training taught on your data, in your discipline

Generic SPSS courses teach menus. We teach the decisions — which test your design needs, how to check whether it is valid, and how to report it — using examples from your own field and, where possible, your own dataset.

5named statisticians
67combined years
1working day to quote
0calls required
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Price
Fixed quotePriced per session or per team. Ask for a quote with dates.
  • Taught on your own dataset
  • Syntax skills, not just menus
  • Exercises from your discipline
  • Materials and recording to keep
Ask for a quote
In short

SPSS training covers data preparation and recoding, choosing the correct statistical test for a research design, testing and interpreting assumptions, writing reusable syntax so analyses can be reproduced, and reporting results to APA convention.

What is included

What you get with spss training

Data preparation

Importing, coding, recoding, handling missing values and building the variables your analysis actually needs.

Choosing the right test

A decision framework you can apply to the next project, rather than a list of procedures to memorise.

Assumptions and what to do when they fail

Testing them, reading them, and knowing the alternative when the assumption does not hold.

Syntax and reproducibility

Writing and saving syntax so your analysis can be rerun, checked and corrected without starting again.

Reporting to APA

Turning output into tables and sentences that meet journal and university requirements.

Support afterwards

Questions once you are working alone are included in the price.

Who it is for

Two kinds of client, one standard of work

For individual researchers
  • A quantitative project and no formal stats training
  • Reliance on a supervisor who is not always available
  • Needing to run the analysis yourself for a viva
  • Wanting to stop guessing at test selection
For research teams and departments
  • Bringing a team to a shared standard
  • Staff inheriting datasets they did not build
  • Reducing dependence on one person who knows SPSS
  • Reproducible workflows for audit or funder scrutiny

What is taught

The decision framework you take away

The aim is not to memorise procedures. It is to be able to answer four questions about any new dataset, which is what actually transfers between projects.

What kind of variables do I have? Nominal, ordinal, interval or ratio — because everything downstream follows from this
What is my design? Independent groups, repeated measures, or a relationship between variables
What does the test assume, and does my data meet it? And what the alternative is when it does not
How do I report it? The statistic, degrees of freedom, exact p-value, effect size and confidence interval, in the right format

Everything else — menus, dialog boxes, where a particular option lives — is findable. The decision framework is the part people cannot look up, and the part supervisors are actually testing.

Before you book

Format and practical arrangements

Online by default, screen-sharing on your own dataset where confidentiality allows
Most people get furthest with two or three half-days rather than one long session
Pitched to your starting point — tell us honestly when you book, including if that is zero
The same training runs in R or Stata if that is what your department requires
Team sessions quoted per group; we can pitch to a mixed-ability room
Slides, exercise files, worked syntax and a recording, all yours to keep
Follow-up questions once you are working alone are included
We will recommend R if it suits you better

If your work is heading towards publication or reproducibility, R is the better long-term investment and we will say so — even though SPSS training is the easier sell.

How it works

Three steps, entirely in writing

Tell us the project

Send the dataset or describe what your team is working on, and say honestly where your skills are now.

Approve a fixed quote

Naming the trainer, the session structure and the dates. Nothing is booked until you agree it.

Train, then keep the materials

Slides, exercise files, syntax and a recording — plus follow-up questions once you are working alone.

Your statistician

Who does this work

Hafiz Ahmad Tariq
Hafiz Ahmad Tariq
Senior Biostatistician · 15+ years
PhD, Biostatistics, University of Leeds (2014) · MSc, Applied Statistics, University of Sheffield (2010)
Member of the Royal Statistical Society

Experimental design, survival analysis and Bayesian methods across medicine, psychology, public health and engineering.

Advanced regressionMultilevel and mixed effectsBayesian methodsStructural equation modellingSurvival analysisMeta-analysis
Full profile →

This page was reviewed for statistical accuracy by Hafiz Ahmad Tariq on 14 August 2026.

Common questions

Answers before you ask

Do I need to know any statistics already?

No. We start from where you are — tell us honestly when you book and the session is pitched accordingly.

Can you use R or Stata instead?

Yes. The same training runs in R and Stata, and we will recommend R if your work is heading towards reproducibility or publication.

Can we train on our own data?

Yes, and it is far more effective. Send the dataset in advance and the exercises are built from it.

How long is a session?

Most people get furthest with two or three half-days rather than one long day. We will suggest a structure with the quote.

Do you provide materials?

Yes — slides, exercise files, worked syntax and a recording of the session, all yours to keep.

Send the data. Get a fixed quote.

Attach your dataset or just describe the project. A named statistician replies with a price and a deadline, usually within one working day.