D491 Section 1 Quiz questions
and answers already graded
A+(EVERYTHING YOU NEED TO
PASS)
What is data analytics?
- The process of encrypting data to keep it secure
- The process of collecting data from various sources
- The process of analyzing data to extract insights
- The process of storing data in a secure location for
future use - answer The process of analyzing data to
extract insights
What is data science?
- The process of creating computer programs to automate
tasks
- The practice of using statistical methods to extract
insights from data
- The study of how computers interact with human
language
- A field that involves creating data visualizations to
provide insights - answer The practice of using statistical
methods to extract insights from data.
How is data science different from data analytics?
, - 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 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. - answer
Data science focuses on developing new algorithms and
models, while data analytics focuses on using existing
models to analyze data.
Which comparison describes the difference between data
analytics and data science?
- 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 analytics focuses on descriptive analysis, while data
science focuses on prescriptive analysis.
- Data science involves analyzing data from structured
sources, while data analytics involves analyzing data from
unstructured sources. - answer Data analytics is the
process of analyzing data to extract insights, while data
science involves building and testing models to make
predictions.
and answers already graded
A+(EVERYTHING YOU NEED TO
PASS)
What is data analytics?
- The process of encrypting data to keep it secure
- The process of collecting data from various sources
- The process of analyzing data to extract insights
- The process of storing data in a secure location for
future use - answer The process of analyzing data to
extract insights
What is data science?
- The process of creating computer programs to automate
tasks
- The practice of using statistical methods to extract
insights from data
- The study of how computers interact with human
language
- A field that involves creating data visualizations to
provide insights - answer The practice of using statistical
methods to extract insights from data.
How is data science different from data analytics?
, - 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 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. - answer
Data science focuses on developing new algorithms and
models, while data analytics focuses on using existing
models to analyze data.
Which comparison describes the difference between data
analytics and data science?
- 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 analytics focuses on descriptive analysis, while data
science focuses on prescriptive analysis.
- Data science involves analyzing data from structured
sources, while data analytics involves analyzing data from
unstructured sources. - answer Data analytics is the
process of analyzing data to extract insights, while data
science involves building and testing models to make
predictions.
