Data Analysis Vocabulary
Quiz
•
Information Technology (IT)
•
Professional Development
•
Practice Problem
•
Hard
Carolina Velásquez
Used 9+ times
FREE Resource
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10 questions
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1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Why completeness important in data analysis?
To summarize
Better decision -making
To make things easier
Audits and compliance
2.
FILL IN THE BLANK QUESTION
1 min • 1 pt
If one dataset tracks dates as YYYY-MM-DD and another uses DD/MM/YYYY, you might misinterpret timelines or trends unless everything conforms to a standard. This is an example of:
If one dataset tracks dates as YYYY-MM-DD and another uses DD/MM/YYYY, you might misinterpret timelines or trends unless everything conforms to a standard. This is an example of:
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
It helps preserve the integrity and usability of a dataset when some values are missing. Without it, missing data can cause all kinds of problems—errors in calculations, biases in models, or even total failure of certain algorithms.
Conformity
Organization
Cleaning
Imputing
4.
FILL IN THE BLANK QUESTION
1 min • 1 pt
Pattern recognition
Handling non-linear relationships
Adaptability
End-to-end learning
Are advatanges of using....
Pattern recognition
Handling non-linear relationships
Adaptability
End-to-end learning
Are advatanges of using....
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What can help me try to predict the future?
Prescriptive Analytics
Descriptive Analytics
Predictive Analytics
Diagnostic Analytics
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What can help me answer the question: What should we do about it?
Predictive analytics
Descriptive Analytics
Diagnostic Analytics
Prescriptive Analytics
7.
FILL IN THE BLANK QUESTION
1 min • 1 pt
📈 Hotter days → more ice cream sold
📉 Cooler days → fewer ice cream sale
This is an example of...
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