Learning Path

Educational Data Analytics for Institutional Improvement

Foundations of Educational Data Analytics → Capstone: Analytics for Institutional Improvement

9 Knowledge Nodes · 9 Learning Steps · v0 Active

This learning path equips educational professionals with the knowledge and skills to apply analytics to educational data for institutional improvement. It covers foundational statistics, data analysis techniques, and specific applications such as student performance analysis, dropout prediction, and program evaluation. The path emphasizes practical, data-driven decision-making for educational settings.

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Learning Route

9 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

3 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps