Data Science Fundamentals
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Questions and Answers

What is the primary goal of data science?

  • To extract insights and knowledge from data (correct)
  • To develop computational models
  • To analyze theoretical phenomena
  • To create databases for storage
  • What is the 'fourth paradigm' of science, according to Jim Gray?

  • Computational science
  • Informatics science
  • Theoretical science
  • Data-driven science (correct)
  • What does a data scientist typically create to gain insights from data?

  • Research papers
  • Database systems
  • Theoretical models
  • Programming code (correct)
  • What is a key characteristic of data science?

    <p>It is an interdisciplinary field</p> Signup and view all the answers

    What does data science integrate with from the underlying application domain?

    <p>Domain knowledge</p> Signup and view all the answers

    What is one of the key differences between data science and computer science?

    <p>Data science is more focused on extracting insights from data</p> Signup and view all the answers

    What is a key application of data science?

    <p>Solving problems in various application domains</p> Signup and view all the answers

    What is involved in the field of data science?

    <p>Preparing data, formulating problems, analyzing data, and presenting findings</p> Signup and view all the answers

    What is a key aspect that data science incorporates from information science?

    <p>Data visualization</p> Signup and view all the answers

    Who argues that data science is not a new field, but rather another name for statistics?

    <p>Nate Silver</p> Signup and view all the answers

    What is emphasized in data science, according to Vasant Dhar?

    <p>Quantitative and qualitative data, and prediction and action</p> Signup and view all the answers

    What is NOT one of the three emerging foundational professional communities in data science, according to the American Statistical Association?

    <p>Data visualization</p> Signup and view all the answers

    Who described data science as an applied field growing out of traditional statistics?

    <p>David Donoho</p> Signup and view all the answers

    What term was used by John Tukey in 1962 to describe a field that resembles modern data science?

    <p>Data analysis</p> Signup and view all the answers

    Where was the term 'data science' first used as an alternative name for statistics?

    <p>Chinese Academy of Sciences in Beijing</p> Signup and view all the answers

    What is emphasized in human–computer interaction in data science, according to Statistician Nathan Yau?

    <p>Users should be able to intuitively control and explore data</p> Signup and view all the answers

    Study Notes

    Data Science

    • Data science is an interdisciplinary field that combines statistics, scientific computing, and scientific methods to extract knowledge and insights from structured and unstructured data.
    • It integrates domain knowledge from various application domains, such as natural sciences, information technology, and medicine.

    Characteristics of Data Science

    • Data science is multifaceted and can be described as a science, research paradigm, research method, discipline, workflow, and profession.
    • It uses techniques and theories drawn from mathematics, statistics, computer science, information science, and domain knowledge.
    • Data science is distinct from computer science and information science.

    Definition of a Data Scientist

    • A data scientist is a professional who creates programming code and combines it with statistical knowledge to create insights from data.

    Foundations of Data Science

    • Data science involves preparing data for analysis, formulating data science problems, analyzing data, developing data-driven solutions, and presenting findings to inform high-level decisions.
    • It incorporates skills from computer science, statistics, information science, mathematics, data visualization, and communication.

    Relationship to Statistics

    • Data science is not a new field, but rather an extension of statistics, focusing on problems and techniques unique to digital data.
    • Data science deals with both quantitative and qualitative data, emphasizing prediction and action.

    Etymology of Data Science

    • The term "data analysis" was first used by John Tukey in 1962, which resembles modern data science.
    • The term "data science" was first used by C. F. Jeff Wu in 1985 as an alternative name for statistics.

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    Learn about data science, an interdisciplinary field that extracts insights from data using statistics, computing, and visualization, integrating domain knowledge from various applications.

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