1
Introduction to Analytics - D491
2025/2026 Exam Questions Marking
Scheme New Update | A+ Rated
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
1
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
,2
-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-
2
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
,3
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 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.)
3
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
, 4
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?
-Exploratory projects involve testing hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing hypotheses.
4
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
Introduction to Analytics - D491
2025/2026 Exam Questions Marking
Scheme New Update | A+ Rated
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
1
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
,2
-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-
2
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
,3
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 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.)
3
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
, 4
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?
-Exploratory projects involve testing hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing hypotheses.
4
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2025. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
