Live Education Quiz

1

What is the final stage of the data science life cycle where the results are shared with others?

A

Data Acquisition

B

Data Preparation

C

Communication / Visualization

D

Asking a question

2

Which field combines statistics, programming, and domain knowledge?

A

Networking

B

Web development

C

Data science

D

Cyber security

3

Which stage involves removing errors and inconsistencies from data?

A

Data collection

B

Data cleaning

C

Data visualization

D

Data storage

4

Which visualization is best for showing frequency distribution?

A

Histogram

B

Pie chart

C

Line chart

D

Map

5

The process of removing errors and inconsistencies from data is called?

A

Data Cleaning.

B

Data Collection.

C

Data Modeling.

D

Data Visualization.

6

What does a bar chart display?

A

Trends over time

B

Categories and values

C

Geographic data

D

Random data

7

Data that has been collected but has not been processed or cleaned is called:

A

Final Data

B

Clean Data

C

Useful Data

D

Raw Data

8

What is the final stage of the data science life cycle?

A

Data collection

B

Data cleaning

C

Decision making or deployment

D

Data visualization

9

Which step converts raw data into useful information?

A

Data cleaning

B

Data analysis

C

Data storage

D

Data collection

10

Which of the following is not a stage of data science life cycle?

A

Data collection

B

Data cleaning

C

Hardware installation

D

Data analysis

11

Which stage uses charts and graphs?

A

Data cleaning

B

Data visualization

C

Data collection

D

Data storage

12

Which of the following is the first step in the Data Science Life Cycle?

A

Building a model.

B

Collecting data.

C

Visualizing data.

D

Cleaning data.

13

Which of the following best defines data?

A

Processed information

B

Unorganized facts and figures

C

Final reports

D

Computer programs

14

Which visualization helps identify relationships between variables?

A

Pie chart

B

Bar chart

C

Scatter plot

D

Table

15

What is raw data?

A

Processed information

B

Final results

C

Unprocessed facts

D

Graphs and charts

16

The process of cleaning and organizing raw data to make it suitable for analysis is called:

A

Data Deletion.

B

Data Preparation.

C

Data Guessing.

D

Data Hiding.

17

Which stage comes after data collection?

A

Data cleaning

B

Data visualization

C

Deployment

D

Decision making

18

In which stage of the data science life cycle are models built to find patterns?

A

Data Analysis

B

Data Collection

C

Problem Definition

D

Data Deletion

19

What does qualitative data describe?

A

Numbers only

B

Measurements

C

Qualities or characteristics

D

Calculations

20

What is the main benefit of data science?

A

Increased typing speed

B

Better decision making

C

More storage usage

D

Hardware improvement

21

What is the first stage of the data science life cycle?

A

Data visualization

B

Data collection

C

Model deployment

D

Data cleaning

22

What does 'data' mean in the context of data science?

A

Only pictures and videos.

B

A collection of facts, such as numbers, words, or measurements.

C

Only the software on a computer.

D

The physical parts of a computer like the mouse and keyboard.

23

Which data science step comes just before decision making?

A

Data visualization

B

Data collection

C

Data cleaning

D

Data storage

24

Which of the following is a common way to visually represent data?

A

Writing a long paragraph.

B

Creating a bar chart.

C

Recording an audio file.

D

Sending a text message.

25

A map showing the population in different cities of a country is an example of:

A

Data Visualization.

B

A text document.

C

A computer program.

D

A spreadsheet formula.

26

What is the main goal of data analysis?

A

To design hardware

B

To find patterns and insights

C

To type documents

D

To send emails

27

Which step helps stakeholders understand results easily?

A

Data visualization

B

Data collection

C

Data cleaning

D

Data storage

28

What is data visualization?

A

Storing data in files

B

Representing data in graphical form

C

Deleting unwanted data

D

Writing algorithms

29

What is Data Science?

A

The art of drawing pictures on a computer.

B

The process of building computer hardware.

C

The study of data to find useful information and patterns.

D

The process of creating animations and games.

30

What is data science mainly concerned with?

A

Writing computer games

B

Extracting knowledge from data

C

Repairing hardware

D

Designing websites

31

What is often the first step in the Data Science Life Cycle?

A

Data Acquisition (getting the data).

B

Building a website for the data.

C

Selling the final results.

D

Presenting the conclusion.

32

What does data collection involve?

A

Presenting data in charts

B

Gathering raw data from sources

C

Deleting data

D

Printing reports

33

Which data type is based on categories like colors or names?

A

Quantitative

B

Numerical

C

Qualitative

D

Statistical

34

Which of the following is an example of data?

A

Student marks list

B

Final report

C

Decision

D

Conclusion

35

Which stage focuses on presenting findings?

A

Data cleaning

B

Data visualization

C

Data collection

D

Data storage

36

What is the purpose of decision making in data science?

A

To collect more data

B

To take actions based on insights

C

To clean data

D

To visualize data

37

What helps users quickly grasp complex data?

A

Raw tables

B

Long text

C

Data visualization

D

Manual calculations

38

What is the main role of a data scientist?

A

To repair computer hardware.

B

To design computer motherboards.

C

To analyze data and find useful insights.

D

To manage the school's computer lab.

39

Which chart is commonly used to compare categories?

A

Line chart

B

Bar chart

C

Scatter plot

D

Histogram

40

Which of the following is a source of data?

A

Survey

B

Printer

C

Monitor

D

Speaker

🎉 Practice Complete!