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Questions and Answers
Which field uses mathematics, statistics, and other tools to discover hidden patterns in the data?
Which field mainly deals with structured data?
Which field is more focused on the future?
Which field makes use of the analytic method?
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Which field has greater business value in anticipating future events?
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Which field is more flexible in terms of adding data sources as per requirement?
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Which field uses the ETL (Extract-Transform-Load) process for data integration in its applications?
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Which field's tools include Power BI, R, and Tabulae?
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Which field mainly uses tools like R, Python programming, SAS, BigML, MATLAB, and Excel?
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In which field do enterprises use a set of technologies, applications, and processes for business data analysis?
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Study Notes
Data Analysis Fields
- Data Science uses mathematics, statistics, and other tools to discover hidden patterns in the data.
- Data Analytics mainly deals with structured data.
- Data Science is more focused on the future.
- Data Analytics makes use of the analytic method.
- Data Science has greater business value in anticipating future events.
- Data Analytics is more flexible in terms of adding data sources as per requirement.
- Business Intelligence uses the ETL (Extract-Transform-Load) process for data integration in its applications.
- Business Intelligence tools include Power BI, R, and Tabulae.
- Data Science mainly uses tools like R, Python programming, SAS, BigML, MATLAB, and Excel.
- Business Intelligence is where enterprises use a set of technologies, applications, and processes for business data analysis.
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Description
Explore the key differences between Data Science and Business Intelligence in terms of concept, scope, and focus on data. Understand how Data Science utilizes mathematics and statistics to discover hidden patterns, while Business Intelligence emphasizes technologies and processes for business data analysis.
