Delta Analysis
Student Trajectory Monitoring Report
Track rate-of-change in student metrics to catch declining patterns 8-12 weeks before crisis. Demonstrates why a dropping 3.2 GPA matters more than a stable 2.5.
Five sample reports demonstrating how student-perspective data analysis transforms raw numbers into actionable insight. Built with synthetic data from the DataInEd District Factory.
Each report maps to a core analytical lens in the Data in Education curriculum. All data is synthetic and FERPA-compliant — designed for training, not tracking.
Track rate-of-change in student metrics to catch declining patterns 8-12 weeks before crisis. Demonstrates why a dropping 3.2 GPA matters more than a stable 2.5.
Connect external economic data — income, employment, internet access — to student reality. Understand why a student struggles before deciding how to help.
How teacher-level patterns — grading distributions, referral rates, course assignments — predict student outcomes. A diagnostic lens, not an evaluation tool.
A 92.4% average hides a bimodal reality. This report breaks down how aggregate metrics mask the students who need help most — including the extracurricular connection.
The same data, presented for a school board audience. Demonstrates how framing, cost analysis, and equity dimensions turn insight into budget decisions.
Track trajectory changes over time. Catch the drift before it becomes a crisis.
External context that explains what the numbers alone cannot.
Teacher-level patterns that predict student outcomes.
Present data in formats that move decision-makers to act.
The full Data in Education curriculum teaches you to create analyses like these using Python, real-world methodology, and your district's own data — always with the student's perspective at the center.
Explore the Curriculum →