Introduction to Analytics - D491 | 2025 /2026
What is Data analytics? The process of analyzing data to extract insights. (Data
-The process of encrypting data analytics involves analyzing data to extract insights and
to keep it secure inform decision-making. This includes using various
-The process of storing data in a techniques and tools to explore, clean, transform, and model
secure location for future use data and visualize and communicate findings.)
-The process of analyzing data to
extract insights
-The process of collecting
data from various sources
What is data science? The practice of using statistical methods to extract insights
-A field that involves creating from data. (Data science is a multidisciplinary field involving
data visualizations to provide various statistical, mathematical, and computational methods
insights to extract meaningful insights and knowledge from data.)
-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
,How is data science different Data science focuses on developing new algorithms and
from data analytics? models, while data analytics focuses on using existing
-Data science focuses more models to analyze data. (Data science is more research-
on data visualization, while based, while data analytics is more focused on the practical
data analytics focuses on applications of data analytics.)
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.
Which comparison describes Data analytics is the process of analyzing data to extract
the difference between data insights, while data science involves building and testing
analytics and data science? models to make predictions. (Data analytics involves using
-Data analytics focuses on statistical and quantitative methods to analyze data to
statistics, and data science extract insights and solve problems, while data science
,mainly focuses on qualitative involves using machine learning and statistical models to
reasoning. build predictive models and make decisions based on
-Data science involves analyzing data.)
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.
Which type of data analytics Descriptive (Descriptive analytics focuses on summarizing
project aims to determine past events and understanding what happened.)
why something happened in
the past?
-Prescriptive
-Descriptive
-Predictive
-Diagnostic
What are the different types of Descriptive, diagnostic, predictive, and prescriptive analytics
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
What is Data analytics? The process of analyzing data to extract insights. (Data
-The process of encrypting data analytics involves analyzing data to extract insights and
to keep it secure inform decision-making. This includes using various
-The process of storing data in a techniques and tools to explore, clean, transform, and model
secure location for future use data and visualize and communicate findings.)
-The process of analyzing data to
extract insights
-The process of collecting
data from various sources
What is data science? The practice of using statistical methods to extract insights
-A field that involves creating from data. (Data science is a multidisciplinary field involving
data visualizations to provide various statistical, mathematical, and computational methods
insights to extract meaningful insights and knowledge from data.)
-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
,How is data science different Data science focuses on developing new algorithms and
from data analytics? models, while data analytics focuses on using existing
-Data science focuses more models to analyze data. (Data science is more research-
on data visualization, while based, while data analytics is more focused on the practical
data analytics focuses on applications of data analytics.)
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.
Which comparison describes Data analytics is the process of analyzing data to extract
the difference between data insights, while data science involves building and testing
analytics and data science? models to make predictions. (Data analytics involves using
-Data analytics focuses on statistical and quantitative methods to analyze data to
statistics, and data science extract insights and solve problems, while data science
,mainly focuses on qualitative involves using machine learning and statistical models to
reasoning. build predictive models and make decisions based on
-Data science involves analyzing data.)
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.
Which type of data analytics Descriptive (Descriptive analytics focuses on summarizing
project aims to determine past events and understanding what happened.)
why something happened in
the past?
-Prescriptive
-Descriptive
-Predictive
-Diagnostic
What are the different types of Descriptive, diagnostic, predictive, and prescriptive analytics
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
