Welcome to the Data Science Basics MCQs Page

Dive deep into the fascinating world of Data Science Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Science Basics, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Science Basics, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

Check out the MCQs below to embark on an enriching journey through Data Science Basics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Science Basics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Science Basics MCQs | Page 2 of 8

Explore more Topics under Data Science

01

Data Analysis with Python

02

Data Manipulation

03

Data Analysis and Research

04

Statistical Inference and Regression Models

05

Machine Learning

06

Developing Data Products

Q11.

Which of the following is performed by Data Scientist?

Define the question

Create reproducible code

Challenge results

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q12.

Which of the following is the most important language for Data Science?

Java

Ruby

None of the mentioned

Discuss

Answer: (c).R

Q13.

Point out the wrong statement.

Merging concerns combining datasets on the same observations to produce a result with more variables

Data visualization is the organization of information according to preset specifications

Subsetting can be used to select and exclude variables and observations

All of the mentioned

Discuss

Answer: (b).Data visualization is the organization of information according to preset specifications

Q14.

Which of the following approach should be used to ask Data Analysis question?

Find only one solution for particular problem

Find out the question which is to be answered

Find out answer from dataset without asking question

None of the mentioned

Discuss

Answer: (b).Find out the question which is to be answered

Q15.

Which of the following is characteristic of Processed Data?

Data is not ready for analysis

All steps should be noted

Hard to use for data analysis

None of the mentioned

Discuss

Answer: (b).All steps should be noted

Q16.

Raw data should be processed only one time.

True

False

May be True or False

Can't say

Discuss

Answer: (b).False

Q17.

Point out the correct statement.

Least square is an estimation tool

Least square problems falls in to three categories

Compound least square is one of the category of least square

None of the mentioned

Discuss

Answer: (a).Least square is an estimation tool

Q18.

How many principles of analytical graphs exist?

None of the mentioned

Discuss

Answer: (c).6

Q19.

Which of the following is not a step in data analysis?

Obtain the data

Clean the data

EDA

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q20.

Which of the following technique comes under practical machine learning?

Bagging

Boosting

Forecasting

None of the mentioned

Discuss

Answer: (b).Boosting

Page 2 of 8

Welcome to the Data Science Basics MCQs Page

Data Science Basics MCQs | Page 2 of 8

Explore more Topics under Data Science

Data Analysis with Python

Data Manipulation

Data Analysis and Research

Statistical Inference and Regression Models

Machine Learning

Developing Data Products

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