Core Data Summaries & Descriptors Setting the Scene Summarising & Describing data effectively – Exercise 1 Summarising & Describing data effectively – Exercise 2

Making Statistical Inferences Confidence intervals – e.g. used in “Value at Risk” Hypothesis testing – a single population Hypothesis testing – a single propositions

Statistics for Forecasting & Planning Simple linear regression & correlation Time series models for forecasting Biases in interpreting data – “knowing how your brain works to avoid making mistakes!”

Data-driven Storytelling (and data-visualisation) This final session turns the presentation of data into an art-form, looking at data visualisation and providing delegates with a practical, fun, accessible guide for creating engaging presentations and compelling arguments.