INTRODUCTION TO DATA ANALYTICS: CONCEPTS, LIFECYCLE,
AND ROLES Questions with Correct Solutions
Question:
1. What is data?
Answer:
Raw facts, figures, and symbols that hold potential information.
Question:
2. What is analytics?
Answer:
The process of examining data to uncover patterns, trends, and meaning.
Question:
3. Define data analytics.
Answer:
The science of analyzing raw data to make conclusions about that information.
Question:
4. What is the difference between data and information?
Answer:
Data are raw, unorganized facts, while information is processed data that has been organized
and given context.
Question:
5. What were the early beginnings of data analytics?
Answer:
Manual data collection and simple calculations for survival and governance.
Question:
6. What is the significance of the Statistical Revolution in data analytics?
Answer:
Probability and statistics emerged, applied to science.
Question:
7. What characterizes the Big Data Era?
, Answer:
Massive data, advanced analytics, and data science.
Question:
8. List one reason why data analytics is important.
Answer:
Improved decision making through data-driven insights.
Question:
9. How does data analytics enhance customer understanding?
Answer:
By gaining deep insights into customer behavior, preferences, and needs.
Question:
10. What are the six stages of the data analytics lifecycle?
Answer:
Discovery, Data Preparation, Model Planning, Model Building and Execution, Communicating
Results, Operationalization.
Question:
11. What is the purpose of the Discovery phase in data analytics?
Answer:
To define business objectives, identify data sources, and formulate an initial hypothesis.
Question:
12. What happens during the Data Preparation phase?
Answer:
Data is collected, cleansed, and transformed for analysis.
Question:
13. What is involved in Model Planning?
Answer:
Selecting appropriate models based on business objectives and exploring data relationships.
AND ROLES Questions with Correct Solutions
Question:
1. What is data?
Answer:
Raw facts, figures, and symbols that hold potential information.
Question:
2. What is analytics?
Answer:
The process of examining data to uncover patterns, trends, and meaning.
Question:
3. Define data analytics.
Answer:
The science of analyzing raw data to make conclusions about that information.
Question:
4. What is the difference between data and information?
Answer:
Data are raw, unorganized facts, while information is processed data that has been organized
and given context.
Question:
5. What were the early beginnings of data analytics?
Answer:
Manual data collection and simple calculations for survival and governance.
Question:
6. What is the significance of the Statistical Revolution in data analytics?
Answer:
Probability and statistics emerged, applied to science.
Question:
7. What characterizes the Big Data Era?
, Answer:
Massive data, advanced analytics, and data science.
Question:
8. List one reason why data analytics is important.
Answer:
Improved decision making through data-driven insights.
Question:
9. How does data analytics enhance customer understanding?
Answer:
By gaining deep insights into customer behavior, preferences, and needs.
Question:
10. What are the six stages of the data analytics lifecycle?
Answer:
Discovery, Data Preparation, Model Planning, Model Building and Execution, Communicating
Results, Operationalization.
Question:
11. What is the purpose of the Discovery phase in data analytics?
Answer:
To define business objectives, identify data sources, and formulate an initial hypothesis.
Question:
12. What happens during the Data Preparation phase?
Answer:
Data is collected, cleansed, and transformed for analysis.
Question:
13. What is involved in Model Planning?
Answer:
Selecting appropriate models based on business objectives and exploring data relationships.
