Data Science · Intermediate level

Intermediate level · Module 5 of 6 · 13 guided hours

Reporting and Dashboards

Produce reproducible reports and monitoring dashboards that stay correct as data is updated.

Learning objectives

  • Build reports that regenerate from raw data
  • Design indicator tables for monitoring
  • Prototype dashboards for different audiences

Topics

  • reproducible analysis
  • parameterised notebooks and scripts
  • indicator definitions
  • monitoring and evaluation reporting
  • dashboard design
  • dashboard tools

Lessons

  1. Lesson 1 Reproducible Analysis

    Organise analysis so that anyone can regenerate every number from the raw data.

    raw vs processed datascripts and notebooksone-command rebuildversion control

  2. Lesson 2 Indicators and Monitoring Reports

    Define indicators precisely and report them consistently over time for monitoring and evaluation.

    indicatornumerator and denominatorbaseline and targetdisaggregation

  3. Lesson 3 Designing Dashboards

    Design dashboards that answer specific users' questions at a glance, and prototype them with suitable tools.

    user questionslayout and hierarchyfiltersdata freshness

Practical activity

Turn the education analysis into a report that rebuilds from raw files with one command and a dashboard prototype for programme managers.

Expected outcomes

  • Reproducible reporting
  • Dashboards designed for decisions

Assessment

Reproducibility test (rebuild from raw data) and dashboard review against a design checklist.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.