Data Science Fundamentals

Review 42 DATA-SCIENCE-FUNDAMENTALS practice questions with answer explanations and community insights.

Question 1

Statistical sampling is:

  1. a data mining algorithm to cluster a given number of objects.
  2. a further refinement of an earlier population sample.
  3. a method of selecting a portion of a population.

Question 2

Which of the following BEST describes the difference between business analysis and data science?

  1. Business analysis is focused on past behavior; data science is solely concerned with future predictions.
  2. Business analysis is oriented to business projects; data science incorporates programmatic algorithms.
  3. Business analysis answers specific business questions; data science addresses more general questions.

Question 3

Which of the following is the PRIMARY difference between clustering and classification?

  1. Clustering is unsupervised, while classification uses predetermined groupings.
  2. Classification is performed as an automated real-time process, while clustering is performed manually.
  3. Clustering is defined by analysts, while classification uses an algorithm.

Question 4

The MAIN purpose of statistical modeling is to:

  1. describe the sampling techniques used.
  2. convey analysis results and conclusions.
  3. convey data correlation.

Question 5

Moore’s law states that:

  1. capacity to process big data decreases by a factor of two every two years.
  2. computer memory increases by a factor of two, but processing is halved.
  3. computing power increases by a factor of two every two years.
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