Introduction to data science
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Introduction to data science questions with answers

102 multiple-choice questions. Open any question for its answer and explanation.

  1. Point out the wrong statement.
  2. Which of the following principle characteristic is odd man out in the below figure?
  3. In Data Science, what is the purpose of data wrangling?
  4. Which statistical measure represents the spread or dispersion of data values in a dataset?
  5. What is the primary objective of exploratory data analysis (EDA) in Data Science?
  6. Point out the correct statement.
  7. Which step in the Data Science process involves building and training predictive models?
  8. Which of the following is commonly referred to as 'data fishing'?
  9. Point out the correct statement.
  10. Point out the correct statement.
  11. 3V's are not sufficient to describe big data.
  12. Which of the following is characteristic of Processed Data?
  13. Point out the correct statement.
  14. Accurate prediction depends heavily on measuring the right variables.
  15. What is the primary focus of Data Science?
  16. Which of the following command allows you to update the repository?
  17. Which of the following is not a CLI command?
  18. In Data Science, what is the term for a data point that is missing a value for one or more features?
  19. Which of the following analysis is usually modeled by deterministic set of equations?
  20. Which of the following relationship are usually identified as average effects?
  21. Which of the following uses data on some object to predict values for other object?
  22. Which of the following is a common algorithm used for classification in supervised learning?
  23. If X predicts Y, it does mean X causes Y.
  24. Which of the following model is usually a gold standard for data analysis?
  25. In Data Science, what is the primary purpose of data visualization?