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Questions and Answers
Data analytics is a form of business intelligence used to solve specific problems and challenges within an organization.
Data analytics is a form of business intelligence used to solve specific problems and challenges within an organization.
True
Data analysts are expected to be proficient in software like Excel, SQL, R, and Python.
Data analysts are expected to be proficient in software like Excel, SQL, R, and Python.
True
Data scientists are not expected to be proficient in software development or object-oriented programming.
Data scientists are not expected to be proficient in software development or object-oriented programming.
False
Data analytics can only reveal trends and metrics that are already known.
Data analytics can only reveal trends and metrics that are already known.
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The main purpose of data analytics is to make informed choices based on what the data is telling you.
The main purpose of data analytics is to make informed choices based on what the data is telling you.
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Data analysts are not expected to be involved in database management or reporting.
Data analysts are not expected to be involved in database management or reporting.
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Data analytics is only useful for predicting future trends and behaviors.
Data analytics is only useful for predicting future trends and behaviors.
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The main difference between data science and data analytics is that data scientists are expected to be proficient in software development, while data analysts are not.
The main difference between data science and data analytics is that data scientists are expected to be proficient in software development, while data analysts are not.
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Data analytics is only useful for large companies, not small and medium-sized businesses.
Data analytics is only useful for large companies, not small and medium-sized businesses.
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Data analytics can only be used to solve specific problems and challenges within an organization, and cannot be used to reveal broader insights about the business.
Data analytics can only be used to solve specific problems and challenges within an organization, and cannot be used to reveal broader insights about the business.
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