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WGU D491 Introduction To Analytics Objective
Assessment Actual Exam Test Bank Newest 2026 With
300+ Complete Questions And Correct Answers
|Already Graded A+||Newest Exam Version!!!
What is Data analytics?
-The process of encrypting data to keep it secure
-The process of storing data in a secure location for future
use
-The process of analyzing data to extract insights
-The process of collecting data from various sources -
Answer-The process of analyzing data to extract insights.
(Data analytics involves analyzing data to extract insights
and inform decision-making. This includes using various
techniques and tools to explore, clean, transform, and
model data and visualize and communicate findings.)
What is data science?
-A field that involves creating data visualizations to provide
insights
-The process of creating computer programs to automate
tasks
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-The study of how computers interact with human
language
-The practice of using statistical methods to extract
insights from data - Answer-The practice of using
statistical methods to extract insights from data. (Data
science is a multidisciplinary field involving various
statistical, mathematical, and computational methods to
extract meaningful insights and knowledge from data.)
How is data science different from data analytics?
-Data science focuses more on data visualization, while
data analytics focuses on data cleaning and
preprocessing.
-Data science focuses more on tracking experimental
data, and data analytics is based on statistical methods
and hypotheses.
-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. - Answer-Data science focuses on
developing new algorithms and models, while data
analytics focuses on using existing models to analyze
data. (Data science is more research-based, while data
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analytics is more focused on the practical applications of
data analytics.)
Which comparison describes the difference between data
analytics and data science?
-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.
-Data analytics focuses on descriptive analysis, while data
science focuses on prescriptive analysis. - Answer-Data
analytics is the process of analyzing data to extract
insights, while data science involves building and testing
models to make predictions. (Data analytics involves using
statistical and quantitative methods to analyze data to
extract insights and solve problems, while data science
involves using machine learning and statistical models to
build predictive models and make decisions based on
data.)
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Which type of data analytics project aims to determine
why something happened in the past?
-Prescriptive
-Descriptive
-Predictive
-Diagnostic - Answer-Descriptive (Descriptive analytics
focuses on summarizing past events and understanding
what happened.)
What are the different types of data analytics projects?
-Regression analysis, time series analysis, text analytics,
and network analysis
-Data warehousing, data mining, data visualization, and
business intelligence
-Descriptive, diagnostic, predictive, and prescriptive
analytics
-Data collection, data cleaning, data transformation, and
data visualization - Answer-Descriptive, diagnostic,
predictive, and prescriptive analytics
What is the difference between exploratory and
confirmatory data analytics projects?
WGU D491 Introduction To Analytics Objective
Assessment Actual Exam Test Bank Newest 2026 With
300+ Complete Questions And Correct Answers
|Already Graded A+||Newest Exam Version!!!
What is Data analytics?
-The process of encrypting data to keep it secure
-The process of storing data in a secure location for future
use
-The process of analyzing data to extract insights
-The process of collecting data from various sources -
Answer-The process of analyzing data to extract insights.
(Data analytics involves analyzing data to extract insights
and inform decision-making. This includes using various
techniques and tools to explore, clean, transform, and
model data and visualize and communicate findings.)
What is data science?
-A field that involves creating data visualizations to provide
insights
-The process of creating computer programs to automate
tasks
,2|Page
-The study of how computers interact with human
language
-The practice of using statistical methods to extract
insights from data - Answer-The practice of using
statistical methods to extract insights from data. (Data
science is a multidisciplinary field involving various
statistical, mathematical, and computational methods to
extract meaningful insights and knowledge from data.)
How is data science different from data analytics?
-Data science focuses more on data visualization, while
data analytics focuses on data cleaning and
preprocessing.
-Data science focuses more on tracking experimental
data, and data analytics is based on statistical methods
and hypotheses.
-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. - Answer-Data science focuses on
developing new algorithms and models, while data
analytics focuses on using existing models to analyze
data. (Data science is more research-based, while data
,3|Page
analytics is more focused on the practical applications of
data analytics.)
Which comparison describes the difference between data
analytics and data science?
-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.
-Data analytics focuses on descriptive analysis, while data
science focuses on prescriptive analysis. - Answer-Data
analytics is the process of analyzing data to extract
insights, while data science involves building and testing
models to make predictions. (Data analytics involves using
statistical and quantitative methods to analyze data to
extract insights and solve problems, while data science
involves using machine learning and statistical models to
build predictive models and make decisions based on
data.)
, 4|Page
Which type of data analytics project aims to determine
why something happened in the past?
-Prescriptive
-Descriptive
-Predictive
-Diagnostic - Answer-Descriptive (Descriptive analytics
focuses on summarizing past events and understanding
what happened.)
What are the different types of data analytics projects?
-Regression analysis, time series analysis, text analytics,
and network analysis
-Data warehousing, data mining, data visualization, and
business intelligence
-Descriptive, diagnostic, predictive, and prescriptive
analytics
-Data collection, data cleaning, data transformation, and
data visualization - Answer-Descriptive, diagnostic,
predictive, and prescriptive analytics
What is the difference between exploratory and
confirmatory data analytics projects?
