4/4 Data Literacy

What is data literacy?

Read and Understand Data: Methods and Tools

Collect and Communicate Data and Information: Methods and Tools

Data for Sustainable Development

Practical Assignment

1 Quiz

Final Quiz for Data Literacy

Final Quiz for Data Literacy

4/4 Data Literacy Practical Assignment Final Quiz for Data Literacy

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Question 1 of 10

1. Question
Data Literacy is:
- The ability to read, work with and analyze data
- Only the ability to read and work with data
- The ability to read, work with, analyze, and argue with data
- The ability to generate data
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Question 2 of 10

2. Question
According to DigiComp 2.0, Data Literacy comprises:
- Three data literacy competences dimensions
- Four data literacy competences dimensions
- Two data literacy competences dimensions
- Five data literacy competences dimensions
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Question 3 of 10

3. Question
The following categories are considered to be types of data:
- Qualitative, quantitative and confounding
- Central tendency, discrete and continuous
- Nominal, ordinal and qualitative
- None of the above
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Question 4 of 10

4. Question
First-party data:
- Is collected directly from the source
- Is aggregated from various sources
- It comes directly from the company that collected it
- None of the above
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Question 5 of 10

5. Question
The main data collection tools can be:
- Data storytelling
- Surveys and graphs
- Interviews and focus groups discussions
- Infographics and photographs
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Question 6 of 10

6. Question
Data Storytelling is:
- A methodology for communicating information, tailored to a specific audience, with a compelling narrative
- An often used data collection tool
- A competence dimension of some Data Literacy frameworks.
- A type of data.
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Question 7 of 10

7. Question
The three data analysis fundamental aspects are:
- Observation, data storytelling and key questions
- Confounding variables, observation and correlation
- Causation, data storytelling and correlation
- None of the above
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Question 8 of 10

8. Question
What is one of the key rules which should be followed when creating data sets?
- Law of large numbers
- Observation Method
- DigiComp 2.0 Framework
- Digital storytelling approach
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Question 9 of 10

9. Question
Big data is:
- A field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex;
- A data concept which is no longer relevant
- A concept which is not related with the fact that the digital world produces more data
- Small sets of data
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Question 10 of 10

10. Question
A good data story leverages three major components:
- Sound, text and image
- Data, narrative, and visuals
- Narrative, text and sound
- Data; visuals and text
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