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. Which of the following is an example of an unsupervised learning algorithm used in clustering data?
  2. Which of the following analysis helps out to find the effect of variable change?
  3. Which of the following is a technique used to handle missing data in a dataset?
  4. Which of the following web hosting service use Git control system?
  5. Which step in the Data Science process involves visualizing and interpreting the results of data analysis?
  6. Which of the following is NOT a common data format used in Data Science projects?
  7. What is the term for the process of removing or reducing noise and inconsistencies from data?
  8. Which of the following CLI command can also be used to rename files?
  9. Which of the following analysis should come in place of question mark in the below figure?
  10. branch command is used to determine which branch you are currently in.
  11. Point out the wrong statement.
  12. Which of the following analysis are incredibly hard to infer?
  13. Point out the wrong statement.
  14. Point out the correct statement.
  15. Beyond Volume, variety and velocity are the issues of big data veracity.
  16. Which of the following command updates tracking for files that are modified?
  17. What type of data analysis focuses on understanding the relationships and patterns within a dataset?
  18. Which of the following approach should be used if you can't fix the variable?
  19. How many principles of analytical graphs exist?
  20. Which of the following term is appropriate to the below figure?
  21. Which of the following is a key characteristic of a hacker?
  22. Which of the following allows you to find the relationship you didn't about?
  23. Which of the following is NOT a common data visualization tool or library used in Data Science?
  24. Which of the following is a common technique used to handle imbalanced datasets in classification problems?
  25. Which of the following step is performed by data scientist after acquiring the data?