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AI & Data

Data Analysis & Visualisation

Spreadsheets, SQL, Python, cleaning, dashboards, storytelling and business reporting.

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Detailed overview

What the learning journey covers.

This practical programme combines clear instruction, guided laboratories, applied assignments and demonstrable project outcomes.

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01

Core learning areas

  • Questions, data collection, cleaning and spreadsheet analysis
  • SQL querying, Python exploration and statistical summaries
  • Dashboards, chart selection, business storytelling and reporting
02

Capability outcomes

  • Turn untidy data into a dependable analysis
  • Build clear visuals that answer business questions
  • Communicate findings, assumptions and limitations confidently
Learning model

Learn, practise, build and present.

Format, duration, fees, prerequisites and cohort dates are confirmed for each intake or corporate brief. Completion evidence depends on attendance and assessment.

  1. 01

    Foundation

    Understand the concepts, tools, safety and context.

  2. 02

    Guided practice

    Apply each capability through supervised exercises.

  3. 03

    Project work

    Combine skills in realistic tasks with feedback.

  4. 04

    Evidence

    Present a capstone or assessed practical outcome.

Ask about format, schedule and admission.

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