Courses

Programmes that build
skills that actually transfer

Whether you’re starting from scratch or leading a data team, there’s a programme here for you.

University Programme

Semester-length · Lecture + Lab · [12 weeks]

Data Science Foundations

Who it’s for: Students in [programme/discipline] building their analytical skills as part of a structured academic curriculum.

A rigorous but accessible introduction to the concepts, tools, and thinking that underpin data science. This course emphasises application — students work with real datasets and produce analysis they can stand behind.

What you’ll learn

  • Data types, structures, and quality
  • Exploratory data analysis and visualisation
  • Statistical thinking and inference
  • Introduction to machine learning
  • Communicating findings to non-technical audiences
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Executive Education

2-day intensive · In-person or hybrid · Corporate or open enrolment

Data Science for Working Professionals

Who it’s for: Working professionals with no prior data science background who need a practical grounding in how data analysis works and how to apply it in their role.

Practical, intensive, and designed around the questions professionals actually face. No fluff, no unnecessary theory — just the skills and vocabulary you need to work effectively with data in a business context.

What you’ll learn

  • What data science can and cannot do
  • Reading and interpreting data outputs
  • Python fundamentals for data analysis
  • Building simple models and understanding the results
  • Evaluating data projects and vendors
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Executive Briefing

Half-day executive briefing · Bespoke corporate delivery available

Data Literacy for Leaders

Who it’s for: Executives and team leads who need to understand data science well enough to make decisions, manage data projects, and ask the right questions — without writing any code.

A focused programme for leaders who work with data teams but don't need to become data scientists. You'll leave with the confidence to challenge assumptions, ask better questions, and make smarter decisions about data investments.

What you’ll learn

  • How to evaluate data claims and spot weak analysis
  • What good data infrastructure looks like — and how to ask for it
  • How to work effectively with data scientists and analysts
  • Common mistakes in data-driven decision making
  • Building a data-literate culture in your team
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Not sure which is right for you?

Get in touch and I’ll help you figure out the best fit.

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