Data Science Guides
Practical guides to help UK professionals master the data science workflow — from collecting and cleaning raw data to creating compelling visualisations that drive business decisions.
Data Science Guide
The Data Science Workflow: From Raw Data to Actionable Insights
A step-by-step guide to the end-to-end data science process. Covers data collection, cleaning, exploratory analysis, feature engineering, model building, evaluation, and deploying insights in UK business contexts.
6-stage workflowCRISP-DM frameworkPython & R examples
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Data Science Guide Data Visualisation Best Practices: Telling Stories with Data
A practical guide to creating effective data visualisations. Covers chart selection, design principles, colour theory, accessibility standards, dashboard design, and tools for presenting data to UK stakeholders.
12 chart typesWCAG 2.1 accessibleStakeholder-ready
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