D491 - S1 Quiz complete with
verified solutions
What is data analytics?
The process of analyzing data to extract insights
The process of storing data in a secure location for future
use
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
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?
The practice of using statistical methods to extract
insights from data
A field that involves creating data visualizations to
provide insights
The study of how computers interact with human
language
The process of creating computer programs to automate
tasks
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 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 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 is more research-based, while data 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 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.
Data analytics is the process of analyzing data to extract
insights, while data science involves building and testing
models to make predictions.
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.
verified solutions
What is data analytics?
The process of analyzing data to extract insights
The process of storing data in a secure location for future
use
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
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?
The practice of using statistical methods to extract
insights from data
A field that involves creating data visualizations to
provide insights
The study of how computers interact with human
language
The process of creating computer programs to automate
tasks
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 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 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 is more research-based, while data 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 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.
Data analytics is the process of analyzing data to extract
insights, while data science involves building and testing
models to make predictions.
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.
