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Questions and Answers
What is data science described as?
What is data science described as?
- A branch of computer science
- A subset of information technology
- An exclusive branch of statistics
- A science, a research paradigm, a research method, a discipline, a workflow, and a profession (correct)
What does a data scientist do?
What does a data scientist do?
- Conducts domain-specific research without using statistical methods
- Focuses solely on statistical analysis
- Works primarily on software development
- Creates programming code and combines it with statistical knowledge to create insights from data (correct)
How does data science differ from computer science and information science?
How does data science differ from computer science and information science?
- It integrates domain knowledge from various fields along with statistics and data analysis (correct)
- It does not involve scientific computing or algorithms
- It is primarily concerned with theoretical aspects rather than practical applications
- It focuses exclusively on computational methods without statistical analysis
What did Jim Gray envision data science as?
What did Jim Gray envision data science as?
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What fields contribute techniques and theories to data science?
What fields contribute techniques and theories to data science?
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Study Notes
Data Science Overview
- Data science is often described as a combination of statistics, computer science, and domain expertise.
Role of a Data Scientist
- A data scientist extracts insights from data using various techniques, including machine learning, statistical modeling, and data visualization.
Differences from Computer Science and Information Science
- Data science differs from computer science in that it focuses on extracting insights from data rather than just developing software and algorithms.
- Data science also differs from information science in that it focuses on extracting insights from data rather than just managing and storing data.
Jim Gray's Vision
- Jim Gray envisioned data science as a fourth paradigm of science, which involves exploring and understanding complex phenomena through data.
Contributing Fields
- Techniques and theories from various fields, including mathematics, statistics, computer science, and domain-specific knowledge, contribute to data science.
- Machine learning, artificial intelligence, and visualization are some of the key techniques used in data science.
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