10 Questions
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.
True
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.
False
The main purpose of data analytics is to make informed choices based on what the data is telling you.
True
Data analysts are not expected to be involved in database management or reporting.
False
Data analytics is only useful for predicting future trends and behaviors.
False
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.
True
Data analytics is only useful for large companies, not small and medium-sized businesses.
False
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.
False
Learn about managing delivery of user satisfaction surveys, reporting on results using data visualization software, defining success metrics, and evaluating analytical projects. Explore how to identify improvement opportunities, translate questions into analytical tasks, and gather data from multiple sources.
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