
Data Analytics and Data Science Quiz

Quiz
•
Information Technology (IT)
•
University
•
Medium
Catalino Yanos Jr.
Used 5+ times
FREE Resource
25 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following best describes Data Analytics?
A broad field that includes machine learning and modeling.
The extraction of knowledge from structured or unstructured data.
A process of examining data to draw conclusions and insights.
A process used to create predictive models and enable data-driven automation.
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the primary goal of Data Science?
To provide insights for business decisions.
To analyze existing information.
To discover patterns, build predictive models, and enable data-driven automation.
To describe what happened or is currently happening.
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following is an example of a tool used in Data Analytics?
Python
R
Hadoop
Tableau
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the main difference between Descriptive Analytics and Predictive Analytics?
Descriptive Analytics works with structured data, while Predictive Analytics works with unstructured data.
Descriptive Analytics answers 'What happened?', while Predictive Analytics answers 'What might happen?'.
Descriptive Analytics is a part of Data Science, while Predictive Analytics is not.
Descriptive Analytics uses dashboards, while Predictive Analytics uses recommendation systems.
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which type of data is collected firsthand by a researcher for a specific purpose?
Secondary data
Unstructured data
Primary data
Big data
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the key characteristic of nominal data?
It has a natural order or ranking.
It can take any value within a given range.
It has labels only, with no numeric or logical order.
It consists of whole numbers only.
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Which of the following is an example of continuous data?
The number of students in a class.
The grades of students.
The temperature range.
A person's gender.
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