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Introduction to Data Science MCQ Questions and Answers | Data Science MCQs

Explore our comprehensive collection of multiple-choice questions (MCQs) on Introduction to Data Science designed to boost your confidence and knowledge in data science. These data science MCQs are essential for data science job interviews and exams. Page-4 section-1

Each section contains 100 MCQs on Introduction to Data Science .
31
What is the term for the process of removing or reducing noise and inconsistencies from data?
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Answer & Solution
Answer: Option D
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32
Which of the following best describes the purpose of data sampling in Data Science?
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Answer & Solution
Answer: Option B
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33
Which statistical measure represents the spread or dispersion of data values in a dataset?
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Answer & Solution
Answer: Option C
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34
In Data Science, what is the term for a data point that is missing a value for one or more features?
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Answer & Solution
Answer: Option C
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35
What is the primary objective of data exploration in Data Science?
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Answer & Solution
Answer: Option B
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36
Which type of data is represented by categories or labels and cannot be measured numerically?
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Answer & Solution
Answer: Option B
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37
In Data Science, what is the purpose of data wrangling?
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Answer & Solution
Answer: Option B
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38
What is the process of splitting a dataset into a training set and a test set used for machine learning called?
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Answer & Solution
Answer: Option A
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39
Which of the following is a common algorithm used for classification in supervised learning?
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Answer & Solution
Answer: Option B
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40
What does the acronym "SQL" stand for in the context of Data Science?
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Answer & Solution
Answer: Option A
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