09DataIntroductory

    Data Basics for AI Projects

    Data quality, preparation and what AI needs to work

    Full day · 9am–4:30pm Technical, AnalystsFrom £300/head
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    Learning Outcomes

    • Understand why data quality matters for AI outcomes
    • Clean and prepare a basic dataset for automation
    • Recognise where poor data causes AI failures

    Day Agenda

    09:00–10:30Data fundamentals: types, quality, sources
    10:45–12:30Hands-on data cleaning exercise
    13:30–15:00Connecting data to automation tools
    15:15–16:30Data governance basics for AI projects
    Breaks10:30–10:45 · 12:30–13:30 (lunch) · 15:00–15:15

    Tools & Platforms

    ExcelGoogle SheetsAirtableOpenRefinePython

    What You Leave With

    Data readiness checklist for your AI project

    Mapped to ST0512 Level 4 AI & Automation Practitioner — S: Undertake data analysis, preparation and conversion

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