WGU Introduction to Analytics D491 Test Bank and Practice Exam Questions 2026-03-02
WGU Introduction to
Analytics D491 Test Bank
and Practice Exam
Questions
Page 1
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_ 1 WGU Introduction to Analytics D491 Test Bank and Practice Exam Questions.pdf
,WGU - Introduction to Analytics D491 2026-03-02
What is data analytics?
- The process of analyzing data to extract insights
- The process of encrypting data to keep it secure
- The process of storing data in a secure location for future use
- The process of collecting data from various sources
The process of analyzing data to extract insights
What is data science?
- The practice of using statistical methods to extract insights from data
- A field that involves creating data visualizations to provide insights
- The process of creating computer programs to automate tasks
- The study of how computers interact with human language
The practice of using statistical methods to extract insights from data
Page 2 2 WGU - Introduction to Analytics D491.pdf
,WGU - Introduction to Analytics D491 2026-03-02
How is data science different from data analytics?
- Data science focuses more on tracking experimental data, and data analytics is based on statistical
methods and hypotheses.
- Data science focuses on developing new algorithms and models, while data analytics focuses on
using existing models to analyze data.
- Data science focuses more on data visualization, while data analytics focuses on data cleaning and
preprocessing.
- Data science involves creating new algorithms, while data analytics uses existing statistical
methods.
Data science focuses on developing new algorithms and models, while data analytics focuses on
using existing models to analyze data.
Page 3 3 WGU - Introduction to Analytics D491.pdf
, WGU - Introduction to Analytics D491 2026-03-02
Which comparison describes the difference between data analytics and data science?
- Data analytics focuses on descriptive analysis, while data science focuses on prescriptive analysis.
- Data analytics is the process of analyzing data to extract insights, while data science involves
building and testing models to make predictions.
- Data analytics focuses on statistics, and data science mainly focuses on qualitative reasoning.
- Data science involves analyzing data from structured sources, while data analytics involves
analyzing data from unstructured sources.
Data analytics is the process of analyzing data to extract insights, while data science involves
building and testing models to make predictions.
Which type of data analytics project aims to determine why something happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
Diagnostic
Page 4 4 WGU - Introduction to Analytics D491.pdf
WGU Introduction to
Analytics D491 Test Bank
and Practice Exam
Questions
Page 1
Guidehttps://www.stuvia.com/dashboard!@_)#*)(@$)($@*($@)($@*_ 1 WGU Introduction to Analytics D491 Test Bank and Practice Exam Questions.pdf
,WGU - Introduction to Analytics D491 2026-03-02
What is data analytics?
- The process of analyzing data to extract insights
- The process of encrypting data to keep it secure
- The process of storing data in a secure location for future use
- The process of collecting data from various sources
The process of analyzing data to extract insights
What is data science?
- The practice of using statistical methods to extract insights from data
- A field that involves creating data visualizations to provide insights
- The process of creating computer programs to automate tasks
- The study of how computers interact with human language
The practice of using statistical methods to extract insights from data
Page 2 2 WGU - Introduction to Analytics D491.pdf
,WGU - Introduction to Analytics D491 2026-03-02
How is data science different from data analytics?
- Data science focuses more on tracking experimental data, and data analytics is based on statistical
methods and hypotheses.
- Data science focuses on developing new algorithms and models, while data analytics focuses on
using existing models to analyze data.
- Data science focuses more on data visualization, while data analytics focuses on data cleaning and
preprocessing.
- Data science involves creating new algorithms, while data analytics uses existing statistical
methods.
Data science focuses on developing new algorithms and models, while data analytics focuses on
using existing models to analyze data.
Page 3 3 WGU - Introduction to Analytics D491.pdf
, WGU - Introduction to Analytics D491 2026-03-02
Which comparison describes the difference between data analytics and data science?
- Data analytics focuses on descriptive analysis, while data science focuses on prescriptive analysis.
- Data analytics is the process of analyzing data to extract insights, while data science involves
building and testing models to make predictions.
- Data analytics focuses on statistics, and data science mainly focuses on qualitative reasoning.
- Data science involves analyzing data from structured sources, while data analytics involves
analyzing data from unstructured sources.
Data analytics is the process of analyzing data to extract insights, while data science involves
building and testing models to make predictions.
Which type of data analytics project aims to determine why something happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
Diagnostic
Page 4 4 WGU - Introduction to Analytics D491.pdf
