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Questions and Answers
Data scientists primarily focus on analyzing historical data to understand trends and patterns.
False
Business analysts use the insights provided by data analysts and scientists to make informed business decisions based on internal factors only.
False
Functional Skills for a Data Analyst include project management skills and the ability to work collaboratively with others.
True
Soft Skills for a Data Analyst involve primarily technical skills like statistics and programming.
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Intuition is considered an essential skill for a good Data Analyst, helping them predict future outcomes based on past experiences.
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Data visualization is not a significant aspect of Functional Skills required for a Data Analyst.
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Soft Skills for a Data Analyst do not include the ability to tell a compelling story with data.
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Analytical techniques are not essential for a Data Analyst in performing their job effectively.
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The main focus of Business Intelligence analysts is to build predictive models using machine learning algorithms.
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Curiosity to explore different pathways is considered an important Soft Skill for a good Data Analyst.
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