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 8 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

Q71.

Which of the following approach should be used if you can’t fix the variable?

randomize it

non stratify it

generalize it

none of the mentioned

Discuss

Answer: (a).randomize it

Q72.

Point out the wrong statement.

Randomized studies are not used to identify causation

Complication approached exist for inferring causation

Causal relationships may not apply to every individual

All of the mentioned

Discuss

Answer: (a).Randomized studies are not used to identify causation

Q73.

Which of the following is a good way of performing experiments in data science?

Measure variability

Generalize to the problem

Have Replication

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q74.

Which of the following is commonly referred to as ‘data fishing’?

Data bagging

Data booting

Data merging

None of the mentioned

Discuss

Answer: (d).None of the mentioned

Q75.

Which of the following data mining technique is used to uncover patterns in data?

Data bagging

Data booting

Data merging

Data Dredging

Discuss

Answer: (d).Data Dredging

Q76.

If X predicts Y, it does mean X causes Y.

True

False

May be True or False

Can't say

Discuss

Answer: (b).False

Q77.

Which of the following is one of the key data science skills?

Statistics

Machine Learning

Data Visualization

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q78.

Which of the following is a key characteristic of a hacker?

Afraid to say they don’t know the answer

Willing to find answers on their own

Not Willing to find answers on their own

All of the mentioned

Discuss

Answer: (b).Willing to find answers on their own

Page 8 of 8

Welcome to the Data Science Basics MCQs Page

Data Science Basics MCQs | Page 8 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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