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Data Science Essentials Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is the primary goal of data science?

a)

To visualize data in charts

b)

To store data in databases

c)

To extract knowledge from data

d)

To create complex algorithms

2.

Which of the following is NOT a component of data science?

a)

Web Development

b)

Statistics

c)

Data Engineering

d)

Domain Expertise

3.

What is data wrangling?

a)

The process of visualizing data

b)

The process of cleaning and organizing data

c)

The process of analyzing data

d)

The process of storing data

4.

Which Python library is primarily used for data manipulation?

a)

NetworkX

b)

SciPy

c)

Pandas

d)

Matplotlib

5.

What does the term 'missing data' refer to?

a)

Data that is not relevant

b)

Data that is corrupted

c)

Data that is not available

d)

Data that is duplicated

6.

Which of the following is a method for detecting missing values in a pandas DataFrame?

a)

replace()

b)

fillna()

c)

dropna()

d)

isnull()

7.

What is the purpose of feature selection?

a)

To visualize data

b)

To improve model accuracy and reduce time complexity

c)

To clean the data

d)

To reduce the size of the dataset

8.

Which of the following tools is used for data visualization?

a)

Excel

b)

All of the above

c)

Tableau

d)

R

9.

What is the role of a Data Scientist?

a)

To develop software applications

b)

To analyze data and provide insights

c)

To create marketing strategies

d)

To manage databases

10.

Which library is commonly used for machine learning in Python?

a)

NumPy

b)

Matplotlib

c)

Pandas

d)

Scikit-learn