Data Science Process Overview
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Questions and Answers

Which of the following is not one of the standard steps in the data science process?

  • Developing the model
  • Summarizing the results (correct)
  • Understanding the problem
  • Preparing the data samples

    • What motivated the development of data mining techniques?

  • The evolution of programming languages
  • The wide availability of huge amounts of data and the need to extract useful information (correct)
  • The desire to automate business processes
  • The need to process large amounts of structured data

    • Which of the following is an acronym for a data science process framework?

  • DMAIC
  • CRISP-DM
  • SEMMA
  • All of the above (correct)

    • What does the acronym CRISP-DM stand for?

    <p>Cross-Industry Standard Process for Data Mining</p> Signup and view all the answers

    How many phases are there in the CRISP-DM process?

    <p>6</p> Signup and view all the answers

    What is the primary focus of the Business Understanding phase in the data science process?

    <p>Understanding the objectives and requirements of the project</p> Signup and view all the answers

    Which of the following is NOT a characteristic of the data science process described in the text?

    <p>It is domain-specific</p> Signup and view all the answers

    What is the primary purpose of the prior knowledge step in the data science process?

    <p>To define the problem being solved</p> Signup and view all the answers

    Which of the following is a common issue in the data science process described in the text?

    <p>False or spurious signals in the dataset</p> Signup and view all the answers

    What is the most important step in the data science process according to the text?

    <p>Defining the objective of the whole process</p> Signup and view all the answers

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