CASE STUDY 001 · FOUNDATION CASE

Secondary School Performance Analytics

Evidence-Based Academic Management

Explore Dataset
THE MANAGEMENT CONTEXT

From school records to defensible academic decisions.

A school leadership team requires a rigorous assessment of student performance and the factors associated with academic outcomes. Your role is to analyse the supplied dataset and translate the evidence into practical management recommendations.

YOUR MISSION

Produce an analytical report that answers management questions with appropriate statistical evidence—not intuition alone.

TOOLPython
DATAExcel / CSV
OUTPUTDecision-oriented report
01
RESOURCEStudent Brief

Problem context, learner instructions and expected outputs.

02
DATASETCase_001_Dataset.xlsx

Primary dataset for the complete analytical workflow.

Load →
03
WORKSPACEPython Analytics

Code, statistical outputs, tables and charts.

Launch →
ANALYTICAL WORKFLOW

Six stages. One evidence chain.

Work sequentially. Each stage creates evidence or interpretation that feeds directly into your final submission.

STAGE01

Understand the Management Problem

Frame the school leadership problem before touching the data.

READY

Required work

  1. Read the student brief and management context
  2. Identify the principal decision-makers and stakeholders
  3. State the core management problem in your own words
  4. Formulate 3–5 analytical questions the evidence should answer
STAGE DELIVERABLEProblem statement + analytical questions

Complete the requirements and save your response to unlock the next stage.

0 of 4 tasks completed
STAGE02

Inspect & Prepare the Dataset

Establish whether the supplied data are analytically ready and document any limitations.

LOCKED

Required work

  1. Open Case_001_Dataset.xlsx
  2. Review rows, columns, variable names and data types
  3. Check missing values, duplicates and implausible values
  4. Create a short data-quality note before analysis
STAGE DELIVERABLEData-quality assessment

Complete the preceding stage to unlock this work.

Prerequisite not completedOpen Data Explorer →
STAGE03

Conduct Descriptive Analysis

Establish the school’s major academic performance patterns.

LOCKED

Required work

  1. Calculate appropriate summary statistics
  2. Compare performance across relevant learner groups
  3. Examine attendance and other contextual variables
  4. Produce clear tables and visualisations
STAGE DELIVERABLEDescriptive evidence + charts

Complete the preceding stage to unlock this work.

Prerequisite not completedOpen Python Workspace →
STAGE04

Investigate Performance Drivers

Examine factors associated with academic outcomes without overstating causality.

LOCKED

Required work

  1. Define outcome and explanatory variables
  2. Explore correlations and group differences
  3. Apply suitable inferential/modelling methods where justified
  4. Document assumptions and statistical limitations
STAGE DELIVERABLEDriver analysis + statistical evidence

Complete the preceding stage to unlock this work.

Prerequisite not completed
STAGE05

Translate Findings into Management Insights

Convert statistical results into defensible management intelligence.

LOCKED

Required work

  1. Identify the most decision-relevant findings
  2. Separate evidence from interpretation
  3. Explain implications for school leadership
  4. Prioritise feasible evidence-based interventions
STAGE DELIVERABLEInsights + recommended actions

Complete the preceding stage to unlock this work.

Prerequisite not completed
STAGE06

Prepare & Submit the Final Analytical Report

Produce a concise decision-oriented report that is technically defensible.

LOCKED

Required work

  1. State the problem, data and analytical methods
  2. Present the strongest findings with tables/charts
  3. Provide interpretation and recommendations
  4. Declare limitations and submit for instructor review
STAGE DELIVERABLEFinal analytical report

Complete the preceding stage to unlock this work.

Prerequisite not completed