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Data Analytics Quiz

Total questions: 12

Worksheet time: 60secs

Name
Class
Date
1.

What is the primary goal of Data Analytics?

a)

To create new data sets for analysis

b)

To interpret and analyze existing data to inform decision-making

2.

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

a)

Descriptive analytics

b)

Diagnostic analytics

c)

Predictive analytics

d)

Preservative analytics

3.

After Krish collected data for his research project, what step should he take next?

a)

Data visualization

b)

Data cleaning

c)

Data reporting

d)

Data storage

4.

Which of the following tools is most commonly used for data visualization?

a)

Python

b)

Tableau

c)

Hadoop

d)

SQL

5.

Which programming language is widely used in Data Analytics for statistical analysis?

a)

C++

b)

R

c)

Java

d)

Swift

6.

What does ETL stand for in data processing?

a)

Extract, Transform, Load

b)

Evaluate, Test, Learn

c)

Encode, Transfer, Link

d)

Execute, Transform, Learn

7.

Which of the following represents structured data?

a)

Images

b)

Audio recordings

c)

Data in relational databases

d)

Emails

8.

What is the main purpose of a dashboard in data analytics?

a)

To store large amounts of data

b)

To visualize and monitor key performance indicators (KPIs)

c)

To clean and preprocess data

d)

To encrypt sensitive data

9.

Which of the following is a popular Python library for data analysis?

a)

NumPy

b)

TensorFlow

c)

PyTorch

d)

Flask

10.

What is the process of cleaning and organizing raw data called?

a)

Data wrangling

b)

Data archiving

c)

Data modeling

d)

Data mining

11.

Which type of analytics is used to predict future trends based on historical data?

a)

Diagnostic analytics

b)

Descriptive analytics

c)

Predictive analytics

d)

Prescriptive analytics

12.

What is the primary function of a data warehouse?

a)

To visualize data in charts and graphs

b)

To store and manage large volumes of historical data

c)

To clean and prepare data for analysis

d)

To perform real-time data processing