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.

Executive Programme

20 micro-lessons · Interactive web course · Self-paced

Decision Intelligence with AI

Who it’s for: Professionals and teams who want a practical, repeatable process for turning AI from an answer-generator into a genuine decision partner — no data science background required.

A guided, interactive learning playbook covering the full Discover–Diagnose–Decide & Deliver lifecycle: framing decisions, assessing evidence, diagnosing causes, evaluating trade-offs, and translating recommendations into action — applied throughout to one continuous retail case, BeautyCo.

What you’ll learn

  • The Evidence → Reasoning → Judgement model and Guardrails
  • Context engineering with the RGCTO framework
  • Six reusable decision templates, from Decision Framing to the Executive Action Plan
  • Knowing when to reach for NotebookLM, ChatGPT/Gemini, Colab, Sheets or Nearpod
  • A continuous case — BeautyCo — from CEO problem to 90-day action plan
View Course Details

Customer Analytics

Day 3 module · Lecture + Workshop · R & Python

Customer Segmentation

Who it’s for: Graduate students and working professionals who want to understand and apply customer segmentation techniques — from RFM scoring to cluster analysis — using real-world datasets.

A hands-on module covering two complementary segmentation approaches: RFM Analysis for behaviour-based customer scoring, and Cluster Analysis for unsupervised data-driven grouping. Includes workshops with R and Python.

What you’ll learn

  • Market vs. customer segmentation
  • RFM scoring workflow and segment strategies
  • Hierarchical and K-Means clustering
  • Evaluating cluster quality (WSS, Silhouette)
  • Business profiling and persona development
View Course Details

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
Get In Touch About This Course

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
Get In Touch About This Course

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
Get In Touch About This Course

Not sure which is right for you?

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

Get In Touch