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Data Science

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A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.

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Data Analysis Data Science Questions

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Which of the following statements describes an algorithm?

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Data Analysis Data Science Questions

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A metric is a specific type of data that companies use to identify a problem domain.

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Data Analysis Data Science Questions

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In data analytics, reports use live, incoming data from multiple datasets; dashboards use static collections of data.

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Data Analysis Data Science Questions

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Fill in the blank: Return on investment compares the _____ of an investment to the net profit gained from that investment.

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Data Analysis Data Science Questions

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Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.

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Data Analysis Data Science Questions

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In data analytics, dashboards monitor data that is a continuous source of incoming information. Which of the following terms describes this type of data?

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Data Analysis Data Science Questions

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If a cooking supply store wants to attract more customers, where can they advertise to better reach their target audience? Select all that apply. 1 / 1 point

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Data Analysis Data Science Questions

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The share phase of the data analysis process typically involves which of the following activities? Select all that apply.

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Data Analysis Data Science Questions

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Structured thinking involves which of the following processes? Select all that apply.

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Data Analysis Data Science Questions

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Which of the following examples are vague questions? Select all that apply.

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Data Analysis Data Science Questions

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Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader themes or classifications.

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Data Analysis Data Science Questions

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A data analyst is working for a local power company. Recently, many new apartments have been built in the community, so the company wants to determine how much electricity it needs to produce for the new residents in the future. A data analyst uses data to help the company make a more informed forecast. This is an example of which problem type?

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Data Analysis Data Science Questions

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On a customer service questionnaire, a data analyst asks, “If you could contact our customer service department via chat, how much valuable time would that save you?” Why is this question unfair?

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Data Analysis Data Science Questions

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The question, “Why don’t our employees complete their timesheets each Friday by noon?” is not action-oriented. Which of the following questions are action-oriented and more likely to lead to change? Select all that apply.

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Data Analysis Data Science Questions

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A recycling center that sponsors a podcast about saving the environment is an example of what strategy?

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Data Analysis Data Science Questions

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Which of the following examples are closed-ended questions? Select all that apply.

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Data Analysis Data Science Questions

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Making predictions is one of the six data analytics problem types. It deals with using data to inform decisions about how things may be in the future. Select the scenario that’s an example of making predictions.

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Data Analysis Data Science Questions

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Structured thinking involves recognizing the current problem or situation you’re facing and identifying your options.

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Data Analysis Data Science Questions

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The question, “How could we improve our website to simplify the returns process for our online customers?” is action-oriented.

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Data Analysis Data Science Questions

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Fill in the blank: Categorizing things involves assigning items to categories, whereas _____ takes those categories a step further, grouping them into broader classifications.

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Data Analysis Data Science Questions

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Which of the following questions make assumptions? Select all that apply.

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Data Analysis Data Science Questions

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Which of the following examples are leading questions? Select all that apply.

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Data Analysis Data Science Questions

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A data analyst creates data visualizations and a slideshow. Which phase of the data analysis process does this describe?

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Data Analysis Data Science Questions

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