Course Content
Finding Patterns Without Overcomplicating It
This week shows you how to turn raw data into clear insight. You will learn simple routines for trend checks, subgroup scans, and triangulation. You will finish with a short pattern scan that leads to a practical next step.
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From Patterns to Causes
This week helps you move from “what we see” to “why it might be happening”. You will practise simple diagnosis tools that reduce guesswork. You will finish with a cause map and three testable hypotheses.
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Choosing Actions That Match the Evidence
This week helps you select actions that fit the problem you have diagnosed. You will learn a simple way to choose an intervention, set success criteria, and plan implementation. You will finish with a one-page action logic model that can be shared with your team.
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Leading a Sustainable Data-to-Action Culture
This week focuses on sustainability. You will learn how to build routines, roles, and meeting protocols that make data use normal, not seasonal. You will finish the course with a complete school data decision plan.
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Data-Driven Decision-Making for School Leaders

No single dataset tells the full story. You need a small set of measures that work together.

Four Categories You Will Use Most

1) Learning data

  • Assessment results, progress measures, writing samples, item analysis.

  • Useful for spotting gaps and growth.

  • Risk: over-weighting tests and missing learning quality.

2) Engagement data

  • Attendance, punctuality, participation, homework completion.

  • Useful for early warning.

  • Risk: confusing compliance with engagement.

3) Wellbeing data

  • Student survey themes, counselling trends, safety reports.

  • Useful for understanding barriers to learning.

  • Risk: treating feelings as a score rather than a signal.

4) Culture and practice data

  • Walkthrough trends, observation notes, curriculum coverage, planning quality.

  • Useful for linking teaching to outcomes.

  • Risk: inconsistency if leaders use different lenses.

Triangulation In One Sentence

One dataset raises a question. Two datasets sharpen it. Three datasets help you act.

Quick Activity

List one data source you trust in each category. Then list one you do not trust, and why.

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