Duration: 2 days

Whether you are a professional engineer or senior manager, this course is for you if you engage with statistics in your organisation. You will learn how to look critically at data and begin to make better business decisions from data. Topics include variability, distributions, confidence intervals, t-tests, p-values and research design.

Duration: 2 days

Building on Statistics I, this course is for you if you produce statistics for your organisation. You will learn how to apply and critique statistics of publication quality. Topics include regression, ANOVA, power analyses and a comprehensive list of categorical and non-parametric tests of differences.

Duration: 2 days

If you produce predictive systems for your organisation, this course will broaden your modelling capability far beyond mere regression. Learn from instructors with commercial success in the field, on topics such as decision trees, neural networks, Bayesian learning, clustering, factor analysis and model evaluation.

Duration: 2 days

The topics of our times, we focus on the application of large language models (LLMs) and AI agents in creative disciplines and scientific discovery, using techniques such as physics-informed neural networks (PINNs). We introduce tools and case studies from our own projects to advance capabilities as quickly as possible.

Duration: 2 days

Data analysis meets communication—this course is for you if you desire greater persuasiveness and clarity in your communication of data and statistics. Topics include best practice in visualisation, presentation/document design and story telling with data. A wide range of charts are covered, from histograms to heatmaps.