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Data Analytics - Module 1: Fundamentals

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is the primary purpose of data analysis in companies?

a)

To increase social media presence

b)

To sort and derive key insights from large amounts of unstructured information

c)

To replace all manual tasks

d)

To create company policies

2.

Which of the following is true about the relationship between data analysis and data science?

a)

Data analysis is more advanced than data science

b)

Data science and data analysis are the same

c)

Data science involves more advanced tasks such as programming and building predictive models

d)

Data analysis includes creating new algorithms

3.

What is the first step in the data analytics process?

a)

Collect the right data

b)

Perform data cleaning

c)

Describe the question or goal behind the analysis

d)

Present data in significant ways

4.

How do businesses typically categorize their customers?

a)

By the products they buy

b)

As external or internal customers

c)

By their feedback

d)

As profitable or non-profitable

5.

Why do businesses study the profiles of their customers?

a)

To increase their prices

b)

To improve customer relationships and attract new customers

c)

To limit their marketing efforts

d)

To decrease inventory

6.

What role does data analytics play in decision making for businesses?

a)

It replaces human decision-making

b)

It helps in making informed decisions and identifying areas for improvement

c)

It only provides historical data

d)

It is primarily used for legal compliance

7.

What educational background is typically required for candidates applying for data analytics jobs?

a)

Bachelor’s degree in marketing

b)

High school diploma

c)

Bachelor’s degree in computer science, mathematics, statistics, or a related field

d)

No specific educational background is needed

8.

Which of the following statements about customers is true?

a)

Customers do not impact company revenues

b)

Happy customers are less likely to return

c)

Customers are essential for business survival

d)

All businesses treat customers the same way

9.

What is the significance of machine learning and artificial intelligence in data analytics?

a)

They are only used for data collection

b)

They help in examining large sets of data and extracting beneficial information

c)

They replace data analysts

d)

They are not related to data analytics

10.

How can data analytics contribute to cost-effectiveness in a business?

a)

By automating all business processes

b)

By identifying unproductive processes and optimizing resource allocation

c)

By increasing employee salaries

d)

By eliminating the need for customer feedback