
Data Literacy
Quiz by thirupathi pachaiyappan
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- Q1
Which of the following is not an example of data?
Video
Hardware
Text
Audio
30s - Q2
The ............. illustrates the progressive transformation of raw data into actionable wisdom.
Data Literacy
Data Pyramid
Information
Data
30s - Q3
The data pyramid begins with .........
Knowledge
Raw data
Information
Top Level
30s - Q4
Data Literacy enhances ............. ability in individual based on evidence.
Information
Decision-making
Understanding
Programming
30s - Q5
Designing an ........... metric for the data literacy program involves creating a structured framework.
Mathematical
Logical
Skill
Evaluation
30s - Q6
.................. is about hunting for valuable information in different places, checking if it's good quality, and making sense.
Data investigation
Data quality
Data Discovery
Data literacy
30s - Q7
............. can recognise objects, people, and even actions happening in videos.
Computer Vision
NLP
Data
Data Science
30s - Q8
Which of the following is not the method of data collection in qualitative data interpretation ?
Observation
Driving
Record Keeping
Case Studies
30s - Q9
............. should be organised in a way that makes sense so that it can be used effectively.
Ethics
Privacy
Data
Knowledge
30s - Q10
................ should not have duplicates, missing values, outliers, and other anomalies so that its reliability and usefulness for analysis are not affected.
Clean data
Ethical
Visual Data
Text data
30s - Q11
.................. refers to any collection of raw facts, figures, statistics, or information that can be stored and processed by a computer.
Users enter free textType an Answer30s - Q12
The ............ provides a comprehensive and structured approach to develop the necessary skills for using data efficiently with all levels of awareness.
Users enter free textType an Answer30s - Q13
Quantitative data interpretation is made on ............. data
Text
All of the above
special symbol
Numeric
30s - Q14
Data literacy is able to cultivate ........... skills to understand and explore data's implications by questioning assumptions.
Awareness
Critical thinking
Probability
Programming
30s - Q15
Data literacy fuels ........... by providing tools and techniques to explore data from different perspectives.
repetition
innovation
comprehension
errors
30s