Data Cleaning Exercises

Module 20

Job-ready delivery

End-to-end projects, trade-off explanations, handoffs, take-home assessments and interviews.
  1. Hand off a cleaning job: rules, exceptions, reconciliation

    Deliver cleaned data with the rules applied, an exception report with reasons, and a reconciliation that accounts for every input row. · 10 min

  2. Write the handoff note

    Hand over a cleaned dataset with the rules, evidence and open questions someone else needs. · 8 min

  3. Explain a trade-off

    Present a cleaning choice as options with their effect on the numbers and a recommendation. · 6 min

  4. Take-home assessments

    Approach a take-home cleaning task so reviewers see your judgment. · 7 min

Module 20 quiz

Practice questions: choose an answer and check it to see the explanation. Nothing here is timed or graded.

  1. 1. What does a reconciliation in a cleaning handoff show?
  2. 2. In a take-home task, the brief doesn't say which zone naive timestamps use. What should your write-up do?
  3. 3. Which deliverable best supports a reviewer checking your cleaning?
  4. 4. What belongs in a cleaning handoff note?
  5. 5. In a take-home test the brief is silent about duplicates. What should you do?
  6. 6. A report says "cleaned the data, removed bad rows". What is missing?
  7. 7. How should you explain a trade-off to a stakeholder?
  8. 8. You discover a cleaning bug after delivering a report. What do you do?
  9. 9. What makes a cleaning project portfolio-ready?