Data Science MCQs with answers Page - 4

Here, you will find a collection of MCQ questions on Data Science. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. Which statistical measure represents the spread or dispersion of data values in a dataset?

  • (A) Median
  • (B) Mean
  • (C) Standard Deviation
  • (D) Mode

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Q. In Data Science, what is the term for a data point that is missing a value for one or more features?

  • (A) Outlier
  • (B) Anomaly
  • (C) Null Value
  • (D) Feature

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Q. What is the primary objective of data exploration in Data Science?

  • (A) To build predictive models
  • (B) To find hidden patterns
  • (C) To summarize data
  • (D) To collect data

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Q. Which type of data is represented by categories or labels and cannot be measured numerically?

  • (A) Numerical Data
  • (B) Categorical Data
  • (C) Continuous Data
  • (D) Ordinal Data

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Q. In Data Science, what is the purpose of data wrangling?

  • (A) To create complex models
  • (B) To transform raw data
  • (C) To visualize data
  • (D) To remove outliers

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Q. What is the process of splitting a dataset into a training set and a test set used for machine learning called?

  • (A) Data Partitioning
  • (B) Data Sampling
  • (C) Data Splitting
  • (D) Data Shuffling

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Q. Which of the following is a common algorithm used for classification in supervised learning?

  • (A) K-Means Clustering
  • (B) Decision Tree
  • (C) Principal Component Analysis (PCA)
  • (D) Naive Bayes

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Q. What does the acronym "SQL" stand for in the context of Data Science?

  • (A) Structured Query Language
  • (B) Statistical Query Language
  • (C) Simplified Query Language
  • (D) Secure Query Language

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Q. What is the primary focus of Data Science?

  • (A) Data Cleaning
  • (B) Data Visualization
  • (C) Data Analysis
  • (D) Data Storage

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Q. Which of the following is NOT a common data format used in Data Science projects?

  • (A) JSON
  • (B) XML
  • (C) CSV
  • (D) HTML