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Questions and Answers
What are the steps involved in solving problems with data in data science?
What are the steps involved in solving problems with data in data science?
The steps involved in solving problems with data in data science include collecting and understanding data, cleaning and formatting data, and using data to create a solution through data analysis and/or machine learning.
Where does internal data for data science come from?
Where does internal data for data science come from?
Internal data for data science comes from business-centric data in organizational databases, recording day-to-day operations, and scientific or experimental data.
What are existing external sources of data for data science?
What are existing external sources of data for data science?
Existing external sources of data for data science include public government databases, stock market data, Yelp reviews, and other data available for free or a fee.
What caution should be exercised when using online data for data science?
What caution should be exercised when using online data for data science?
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What are the two methods of obtaining online data for data science?
What are the two methods of obtaining online data for data science?
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Where can internal sources of data for data science be found?
Where can internal sources of data for data science be found?
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What is the caution that should be exercised when using online data for data science?
What is the caution that should be exercised when using online data for data science?
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What are the potential sources of existing external data for data science?
What are the potential sources of existing external data for data science?
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What does web scraping involve in the context of obtaining online data for data science?
What does web scraping involve in the context of obtaining online data for data science?
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What is the scope of collecting your own data in the context of data science?
What is the scope of collecting your own data in the context of data science?
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