Intro to Data Science: Data Analytics Fundamentals
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Questions and Answers

What is data analytics?

  • The process of developing algorithms
  • The process of collecting data
  • The act of making decisions without data
  • The systematic science of examining raw data to draw conclusions (correct)
  • What is the significance of data analytics in contemporary business environments?

  • To enhance product development
  • To reduce costs and drive informed decision-making (correct)
  • To improve customer engagement
  • To make decisions without data
  • What can businesses gain by leveraging data analytics?

  • Identify inefficiencies and streamline operations to reduce costs (correct)
  • Identify inefficiencies and increase costs
  • Gain insights into employee behavior
  • Gain insights into competitor behavior
  • What is one of the benefits of data analytics?

    <p>Improved decision making</p> Signup and view all the answers

    What can data analytics help businesses develop?

    <p>Targeted marketing campaigns</p> Signup and view all the answers

    What can data analytics provide to businesses?

    <p>Valuable insights</p> Signup and view all the answers

    What is the primary benefit of data analytics in business?

    <p>To reduce guesswork and uncertainty</p> Signup and view all the answers

    What is the role of data analysts in a business?

    <p>To discover patterns in data and improve performance</p> Signup and view all the answers

    Which type of data analytics is used to forecast future trends and outcomes?

    <p>Predictive Analytics</p> Signup and view all the answers

    What is the main goal of prescriptive analytics?

    <p>To recommend actions or strategies</p> Signup and view all the answers

    Which industry uses data analytics for conservation efforts and wildlife protection?

    <p>Environmental Protection</p> Signup and view all the answers

    What is the main difference between quantitative and qualitative analysis?

    <p>Quantitative analysis focuses on numerical data, while qualitative analysis focuses on non-numerical data</p> Signup and view all the answers

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