Questions and Answers
What is the primary goal of data science?
To extract insights and knowledge from data
What is the 'fourth paradigm' of science, according to Jim Gray?
Data-driven science
What does a data scientist typically create to gain insights from data?
Programming code
What is a key characteristic of data science?
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What does data science integrate with from the underlying application domain?
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What is one of the key differences between data science and computer science?
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What is a key application of data science?
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What is involved in the field of data science?
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What is a key aspect that data science incorporates from information science?
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Who argues that data science is not a new field, but rather another name for statistics?
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What is emphasized in data science, according to Vasant Dhar?
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What is NOT one of the three emerging foundational professional communities in data science, according to the American Statistical Association?
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Who described data science as an applied field growing out of traditional statistics?
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What term was used by John Tukey in 1962 to describe a field that resembles modern data science?
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Where was the term 'data science' first used as an alternative name for statistics?
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What is emphasized in human–computer interaction in data science, according to Statistician Nathan Yau?
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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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Description
Learn about data science, an interdisciplinary field that extracts insights from data using statistics, computing, and visualization, integrating domain knowledge from various applications.
