Data Science Test

Data science refers to _______________.

• the practice of collecting data and find insights from data

• presenting data in a visually appealing way

• designing, setting up, and maintaining large collections of data called databases

• gathering and measuring data, which can include surveys and other collection tools

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CCSS.HSS.IC.B.3

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Data science is a growing career field because __________________.

• as many as two-thirds of companies are expanding their data science teams every year

• hiring for artificial intelligence has almost doubled over the last few years

• employers struggle to train, hire, and keep qualified talent

• all of the above

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In order for a data scientist to make recommendations, their data must be _____________________.

• clean, accurate, and representative

• incomplete, inconsistent, and manipulated

• saying what I want it to say

• none of the above

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CCSS.HSS.IC.B.5

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. Data scientists identify ____________ and _______________in data to address business problems.

• outliers; customer feedback

• customer feedback; trends

• customer feedback; patterns

• trends; patterns

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____________ analytics refer to observations based on data while ___________ analytics refers to using data to help determine what may happen in the future.

• Proactive; reactive

• Predictive; descriptive

• Reactive; proactive

• Descriptive; predictive

Which of the following statements explain how data scientists can help businesses achieve their goals?

• data scientists have a scientific process for using data to make recommendations for business that can help them achieve their goals

• data scientists do not understand the right questions to ask so they have trouble identifying areas a business can improve

• both A and B

• neither A nor B

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CCSS.HSS.IC.B.4

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Which ofthe following industries use data science to innovate and improve business outcomes?

• sports

• entertainment

• transportation

• all of these

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Businesses use _____________to create observations based on data.

• artificial intelligence

• machine learning

• predictive analytics

• descriptive analytics

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CCSS.HSS.IC.B.3

CCSS.HSS.MD.B.5

Which of the following is not an example of descriptive analytics?

• A report for last year's revenue for a professional baseball team

• A summary of last month's marketing campaigns for beverage company

• Results from a customer feedback survey sent out by a travel agency

• A prediction of revenue over the next three months for a pharmaceutical company

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Using descriptive analytics can be a great way for businesses to _____________________.

• a. better understand how their business is currently performing

• b. determine which product brought in the most revenue last year

• c. analyze how their business performance compares to a competitor

• both a and b

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CCSS.HSS.ID.A.1

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CCSS.HSS.ID.B.5