Practical Data Analysis skill check
A timed check of importing and typing data, missing values, duplicates and invalid entries, cleaning rules and their effect, grouping, transformations, method choice, reporting and reproducibility.
- Questions
- 12
- Time
- 30 min
- Pass mark
- 70%
- Retake after
- 6 h
Skills covered
Import a data file and check it · Set and check variable types · Find and count missing values · Decide how to handle missing values · Find duplicate records · Detect impossible values and unit errors · Write and document cleaning rules · Measure the effect of cleaning on results · Group and aggregate data · Transform variables · Follow an exploration workflow · Select a method that fits the question and data · Write an analysis report · Record reproducible analysis steps
Covers Track 14: Practical Data Analysis. Passing it, together with completing every lesson, earns the track certificate.
How it works
- Questions are drawn from this assessment's own bank, with numbers generated for your attempt.
- Your answers save automatically. Nothing is graded until you submit or the time runs out (the server keeps the time).
- No hints or feedback during the attempt; full worked solutions afterwards.
- You may use a calculator, the lab and your notes. The assessment is not proctored.