Competency information
Details
Resolve issues identified where possible.
Considerations
- Analytical techniques.
- Importance of data quality and how to mitigate and improve it.
- Potential data quality issues and methods to avoid and address, including technical solutions/mitigation.
- How to deal with missing data.
- Documentation commands – labels
- Calculations – generate and replace, recoding, checking correctness, missing data.
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 2 | Outcome Extract, import and manipulate data within a data set. |