Workshops & Training

Practical workshops for data and analytics teams

InferenceWorks delivers focused, expert-led workshops that help teams make better decisions from data. Each workshop is designed around real problems — not abstract theory — and can be delivered remotely or in-person, for half-day or full-day sessions.

No minimum technical background is required for some tracks. All workshops can be tailored to your team's level and domain.

Data teams

Causal Inference for Data Teams

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

The problem

Most data teams can identify correlations but can't reliably answer causal questions: "Did this intervention work?" "What would have happened without this change?" Without causal reasoning, teams produce analysis that looks rigorous but leads to wrong decisions.

What we cover

  • Confounding and why it matters for every analysis your team produces
  • Directed acyclic graphs (DAGs) as a practical thinking tool
  • Quasi-experimental methods: difference-in-differences, regression discontinuity, synthetic control
  • Hands-on implementation in Python with CausalPy

Outcome

Teams can design and evaluate natural experiments, interpret results causally, and flag when causal claims are unjustified — reducing the risk of costly decisions based on misleading correlations.

Best for: Data scientists, analysts, ML engineers, data science managers

Product & growth teams

Experiment Design and Causal Evaluation

One day Remote or in-person Optional Python elements

The problem

A/B tests are routinely misdesigned, misanalysed, or misinterpreted. Statistical significance is not the same as a reliable causal estimate — and bad experiments waste time and erode trust in data-driven decisions.

What we cover

  • What makes a valid experiment and common failure modes
  • Power analysis and sample size: how to avoid underpowered tests
  • Pitfalls: SUTVA violations, novelty effects, peeking at results
  • Moving beyond p-values with Bayesian approaches to experiment analysis

Outcome

Teams run more valid experiments, avoid common traps, and make fewer bad decisions from misleading results.

Best for: Product teams, growth analysts, data scientists running A/B tests

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. We'll 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

Pricing depends on team size, format, and duration. 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.