Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
1. What is Data analytics? The process of analyzing data to
extract insights. (Data analytics in-
volves analyzing data to extract in-
sights and inform decision-mak-
ing. This includes using various
techniques and tools to explore,
clean, transform, and model data
and visualize and communicate
findings.)
2. What is data science? The practice of using statistical
methods to extract insights from
data. (Data science is a multi-
disciplinary field involving vari-
ous statistical, mathematical, and
computational methods to extract
meaningful insights and knowl-
edge from data.)
3. How is data science different from data analytics? Data science focuses on develop-
ing new algorithms and models,
while data analytics focuses on
using existing models to analyze
data. (Data science is more re-
search-based, while data analytics
is more focused on the practical
applications of data analytics.)
4. Which comparison describes the difference be- Data analytics is the process of
tween data analytics and data science? analyzing data to extract insights,
while data science involves build-
ing and testing models to make
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
predictions. (Data analytics in-
volves using statistical and quan-
titative methods to analyze data to
extract insights and solve prob-
lems, while data science involves
using machine learning and sta-
tistical models to build predic-
tive models and make decisions
based on data.)
5. Which type of data analytics project aims to de- Descriptive (Descriptive analyt-
termine why something happened in the past? ics focuses on summarizing past
events and understanding what
happened.)
6. What are the different types of data analytics Descriptive, diagnostic, predictive,
projects? and prescriptive analytics
7. What is the difference between exploratory and Exploratory projects involve test-
confirmatory data analytics projects? ing hypotheses and finding pat-
terns in data, while confirmatory
projects involve verifying existing
hypotheses. (Exploratory data an-
alytics projects are typically used
when little is known about the
data or when researchers look for
patterns or trends that may not
have been previously identified.)
8. Which project is considered a data analytics pro- Creating a dashboard to visualize
ject? sales data and monitor inventory
levels for a grocery store chain.
(A data analytics project typically
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
involves analyzing data to identi-
fy trends and patterns and then
using this information to make
data-driven decisions.)
9. Why is quality control/assurance crucial for data It ensures that the data is accu-
engineers in a data analytics project? rate and reliable. (Quality control
is crucial for data engineers in
a data analytics project because
it ensures that the data used for
analysis is accurate and reliable.)
10. What does a data analyst do in a data analytics Conducts exploratory data analy-
project? sis to identify trends and pat-
terns. (Data analysts are respon-
sible for analyzing data to iden-
tify trends and patterns that can
inform business decisions. This
typically involves conducting ex-
ploratory data analysis, which in-
volves visually exploring and sum-
marizing data to identify patterns
and relationships.)
11. What is the function of a data scientist in an To conduct statistical analysis
organization? and machine learning modeling.
(Data scientists analyze complex
datasets using statistical analysis
and machine learning techniques.
This typically involves cleaning
and preprocessing data, con-
ducting exploratory data analysis,
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
building and testing models, and
communicating insights to busi-
ness stakeholders.)
12. What is the role of a business intelligence ana- Designing and maintaining data
lyst? visualizations and dashboards.
(Business intelligence analysts are
responsible for designing and
maintaining data visualizations
and dashboards to communicate
business insights to stakehold-
ers.)
13. What is a primary responsibility of a data engi- Designing and implementing
neer? data storage solutions. (Data en-
gineers are responsible for de-
signing and implementing data
storage solutions that enable ef-
ficient and effective processing,
storage, and retrieval.)
14. What is a primary responsibility of a machine Developing predictive models us-
learning engineer? ing machine learning algorithms.
(Machine learning engineers are
responsible for developing pre-
dictive models using machine
learning algorithms that can be
used to make predictions or in-
form business decisions.)
15. What is the role and function of a decision scien- To analyze data and provide in-
tist within an organization? sights to support informed deci-
sion-making. (Decision scientists
Study online at https://quizlet.com/_eifriq
1. What is Data analytics? The process of analyzing data to
extract insights. (Data analytics in-
volves analyzing data to extract in-
sights and inform decision-mak-
ing. This includes using various
techniques and tools to explore,
clean, transform, and model data
and visualize and communicate
findings.)
2. What is data science? The practice of using statistical
methods to extract insights from
data. (Data science is a multi-
disciplinary field involving vari-
ous statistical, mathematical, and
computational methods to extract
meaningful insights and knowl-
edge from data.)
3. How is data science different from data analytics? Data science focuses on develop-
ing new algorithms and models,
while data analytics focuses on
using existing models to analyze
data. (Data science is more re-
search-based, while data analytics
is more focused on the practical
applications of data analytics.)
4. Which comparison describes the difference be- Data analytics is the process of
tween data analytics and data science? analyzing data to extract insights,
while data science involves build-
ing and testing models to make
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
predictions. (Data analytics in-
volves using statistical and quan-
titative methods to analyze data to
extract insights and solve prob-
lems, while data science involves
using machine learning and sta-
tistical models to build predic-
tive models and make decisions
based on data.)
5. Which type of data analytics project aims to de- Descriptive (Descriptive analyt-
termine why something happened in the past? ics focuses on summarizing past
events and understanding what
happened.)
6. What are the different types of data analytics Descriptive, diagnostic, predictive,
projects? and prescriptive analytics
7. What is the difference between exploratory and Exploratory projects involve test-
confirmatory data analytics projects? ing hypotheses and finding pat-
terns in data, while confirmatory
projects involve verifying existing
hypotheses. (Exploratory data an-
alytics projects are typically used
when little is known about the
data or when researchers look for
patterns or trends that may not
have been previously identified.)
8. Which project is considered a data analytics pro- Creating a dashboard to visualize
ject? sales data and monitor inventory
levels for a grocery store chain.
(A data analytics project typically
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
involves analyzing data to identi-
fy trends and patterns and then
using this information to make
data-driven decisions.)
9. Why is quality control/assurance crucial for data It ensures that the data is accu-
engineers in a data analytics project? rate and reliable. (Quality control
is crucial for data engineers in
a data analytics project because
it ensures that the data used for
analysis is accurate and reliable.)
10. What does a data analyst do in a data analytics Conducts exploratory data analy-
project? sis to identify trends and pat-
terns. (Data analysts are respon-
sible for analyzing data to iden-
tify trends and patterns that can
inform business decisions. This
typically involves conducting ex-
ploratory data analysis, which in-
volves visually exploring and sum-
marizing data to identify patterns
and relationships.)
11. What is the function of a data scientist in an To conduct statistical analysis
organization? and machine learning modeling.
(Data scientists analyze complex
datasets using statistical analysis
and machine learning techniques.
This typically involves cleaning
and preprocessing data, con-
ducting exploratory data analysis,
, Introduction to Analytics - D491
Study online at https://quizlet.com/_eifriq
building and testing models, and
communicating insights to busi-
ness stakeholders.)
12. What is the role of a business intelligence ana- Designing and maintaining data
lyst? visualizations and dashboards.
(Business intelligence analysts are
responsible for designing and
maintaining data visualizations
and dashboards to communicate
business insights to stakehold-
ers.)
13. What is a primary responsibility of a data engi- Designing and implementing
neer? data storage solutions. (Data en-
gineers are responsible for de-
signing and implementing data
storage solutions that enable ef-
ficient and effective processing,
storage, and retrieval.)
14. What is a primary responsibility of a machine Developing predictive models us-
learning engineer? ing machine learning algorithms.
(Machine learning engineers are
responsible for developing pre-
dictive models using machine
learning algorithms that can be
used to make predictions or in-
form business decisions.)
15. What is the role and function of a decision scien- To analyze data and provide in-
tist within an organization? sights to support informed deci-
sion-making. (Decision scientists
