Workshops & Training

Practical workshops for data and analytics teams

I design and deliver focused workshops that help teams make better decisions from data. Each workshop is built around real problems, not abstract theory, and can be delivered remotely or in-person, for half-day or full-day sessions.

I've spoken at PyData Global and the BP Causal Inference Symposium, and taught research methods, experimental design, and quantitative reasoning to undergraduate and postgraduate students across 15 years in UK higher education. These workshops are built on the same principle: rigorous ideas explained clearly, with practical takeaways your team can use immediately.

Workshop 01

Causal Inference for Business Decision Making

One or two days Remote or in-person Python-based practical elements

The problem

Most organisations can measure what happened but struggle to answer why, or what would have happened differently. Without causal reasoning, analysis that looks rigorous can still point in the wrong direction.

What I cover

How to frame business questions as causal questions, not just measurement questions
Confounding and why it undermines decisions based on observational data
Directed acyclic graphs (DAGs) as a practical tool for analysts and strategists
Quasi-experimental methods: difference-in-differences, regression discontinuity, synthetic control
Hands-on implementation in Python with CausalPy (technical track)

Outcome

Teams can evaluate whether a claimed effect is genuinely causal, design analyses that support defensible decisions, and push back on conclusions that overreach the data.

Best for

Data scientists, analysts, ML engineers, data science managers, and business strategists who commission or consume data analysis

Workshop 02

Causal Inference for Academics

One day Remote or in-person Theory or implementation - your choice

The problem

Most researchers are trained in statistics (regression, factor analysis, structural equation modelling), but never formally taught causal inference. As journals, reviewers, and funding bodies raise the bar on causal identification, that gap is increasingly costly.

What I cover

Why correlation-based statistical methods fall short for causal questions
Directed acyclic graphs (DAGs) as a tool for study design and confound control
Quasi-experimental methods for when randomisation isn't feasible
Interpreting results causally and flagging unjustified causal claims
Building causal narratives that hold up to methodological scrutiny

Outcome

Researchers leave with a practical toolkit for designing stronger studies, writing more defensible papers, and producing impact narratives that can withstand expert review.

Best for

Quantitative researchers across disciplines: social scientists, health researchers, psychologists, and others. Suitable for PIs, ECRs, and PhD cohorts.

REF 2029 relevance

REF evaluates on three pillars and causal inference training speaks to all of them:

Impact: Impact case studies must demonstrate that research caused a change in policy or practice. Reviewers are increasingly sophisticated about this distinction. Researchers who can reason causally write stronger, more defensible impact narratives.
Environment: Structured methodological training in genuinely underserved areas demonstrates investment in research quality and staff development.
Outputs: Journals in economics, epidemiology, psychology, and social science are requiring stronger causal identification. Researchers without exposure to DAGs or quasi-experimental methods face harder scrutiny at top venues.

Tailored to your team

All workshops can be adapted for your team's technical level, industry context, and specific challenges. Combinations and custom topics are welcome.

Flexible format

Half-day, full-day, or multi-day. Remote or in-person. I'll work with you to find the format that fits your team's schedule.

For any level

From leaders with no coding background to senior data scientists, each workshop is pitched to the audience.

Pricing

Format	Duration	From
Remote	Half-day	£2,500
Remote	Full-day	£4,000
In-person	Full-day	£5,500 + travel
Multi-day programme	Custom	On request

All workshops are priced per team, not per head, for groups of up to 10–15 people. Group size, customisation, and repeat bookings are all factored into final pricing. Non-profit and academic rates are available, get in touch to discuss your requirements.

Enquire about a workshop

Tell me about your team and what you're looking for. I'll respond within two business days.