Naan Mudhalvan Recap Quiz

Naan Mudhalvan Recap Quiz

Professional Development

15 Qs

quiz-placeholder

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Naan Mudhalvan Recap Quiz

Naan Mudhalvan Recap Quiz

Assessment

Quiz

Computers

Professional Development

Practice Problem

Easy

Created by

Aswin Kumar

Used 1+ times

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15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

1. What is the primary goal of data analytics?

Storing data securely

Analyzing raw data to make informed decisions

Deleting unnecessary data

Increasing data file sizes

Answer explanation

Analytics is the discovery, interpretation, and communication of meaningful patterns or summary in data.

Data analytics is the process of collecting, analyzing, and interpreting large datasets to find patterns, trends, and correlations.

2.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

1. Which of the following is a common tool used in data analytics?

Microsoft Word

Excel

PowerPoint

Photoshop

3.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

2. In a recent project, Aarav and Kiara were tasked with analyzing customer feedback data for a new product launch. What type of data is typically analyzed in data analytics?

Only numerical data

Only textual data

Both numerical and categorical data

Only image data

4.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

3. What is a key benefit of using data analytics in business?

Increasing the number of employees

Eliminating all risks

Improving decision-making processes

Reducing employee workload

5.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

Which of the following is NOT a type of data analytics?

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Fictional Analytics

6.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

What is the first step in the data analytics process?

A) Data Collection

B) Data Cleaning

C) Data Visualization

D) Reporting

7.

MULTIPLE CHOICE QUESTION

1 min • 10 pts

In data analytics, what is the purpose of data cleaning?

A) Making the dataset look visually appealing

B) Removing errors and inconsistencies from the data

C) Organizing data into folders

D) Adding more data to improve accuracy

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