Work through the list without notes. If you cannot do a statement, follow its link, then come back. Guide = study guide; Practice = practice questions.
Understanding
- I can explain the difference between data and information. (Guide: “From data to information”)
- I can explain what metadata are and that changing them does not change the primary data. (Guide: “Metadata: data about data”; Practice Q1, Q2)
- I can explain why correlation does not show causation. (Guide: “Correlation is not causation”; Practice Q4, Q9)
- I can explain why more data does not remove bias from the source. (Guide: “Challenges when processing data”; Practice Q7)
Skills
- I can clean a set of free-text entries without changing their meaning and recount. (Guide: Worked example 1; Practice Q3, Q8)
- I can name and apply transforming, filtering, combining and visualising. (Guide: “Processes that extract information”; Practice Q6)
- I can handle incomplete or invalid records and account for them. (Guide: Worked example 1; Practice Q5, Q8)
Reasoning
- I can describe a pattern in data without claiming a cause. (Guide: Worked example 2; Practice Q9)
- I can suggest a further data source to investigate a possible cause. (Guide: Worked example 2; Practice Q9)
- I can explain how data size creates challenges and why scalability matters. (Guide: “Challenges when processing data”; Practice question 10)
All ticked? Move on to the Topic 2.4 study guide, Using Programs with Data.