Introduction to Data Science

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Questions and Answers

What is Data Science?

  • The science of extracting hidden patterns from small data sets
  • The science of extracting visible patterns from large data sets
  • The science of extracting patterns from any size of data sets
  • The science of extracting hidden patterns from large data sets (correct)

What is the part of statistics used to understand the data and its reliability?

  • Prescriptive statistics
  • Descriptive statistics (correct)
  • Predictive statistics
  • Inferential statistics

What is the raw material that contains information but also has a lot of noise?

  • Cleansed data
  • Structured data
  • Digital footprints
  • Data (correct)

What do descriptive statistics give vital insights into?

<p>Central values, spread, and distribution of the data (C)</p> Signup and view all the answers

What is the key difference between data and information?

<p>Data is unprocessed records but information is processed data (B)</p> Signup and view all the answers

Which best describes the concept of 'information'?

<p>Processed data with meaning and minus unintentional noise (C)</p> Signup and view all the answers

What does the example of 'Sales report by region and venue' provide?

<p>Information about the profitability of venues (D)</p> Signup and view all the answers

What does the statement 'We live in a world that’s drowning in data' imply?

<p>There is an overwhelming amount of data being collected (D)</p> Signup and view all the answers

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Related Documents

2. Introduction to Data Science.pdf

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