Podcast
Questions and Answers
What is the primary goal of data science?
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?
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?
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?
What is a key characteristic of data science?
What does data science integrate with from the underlying application domain?
What does data science integrate with from the underlying application domain?
What is one of the key differences between data science and computer science?
What is one of the key differences between data science and computer science?
What is a key application of data science?
What is a key application of data science?
What is involved in the field of data science?
What is involved in the field of data science?
What is a key aspect that data science incorporates from information science?
What is a key aspect that data science incorporates from information science?
Who argues that data science is not a new field, but rather another name for statistics?
Who argues that data science is not a new field, but rather another name for statistics?
What is emphasized in data science, according to Vasant Dhar?
What is emphasized in data science, according to Vasant Dhar?
What is NOT one of the three emerging foundational professional communities in data science, according to the American Statistical Association?
What is NOT one of the three emerging foundational professional communities in data science, according to the American Statistical Association?
Who described data science as an applied field growing out of traditional statistics?
Who described data science as an applied field growing out of traditional statistics?
What term was used by John Tukey in 1962 to describe a field that resembles modern data science?
What term was used by John Tukey in 1962 to describe a field that resembles modern data science?
Where was the term 'data science' first used as an alternative name for statistics?
Where was the term 'data science' first used as an alternative name for statistics?
What is emphasized in human–computer interaction in data science, according to Statistician Nathan Yau?
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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