EXIT COURSE

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Question $4$ of $15$Question

$04/15$

A large retail company is examining their annual expenses. Last year, the company$$s marketing expenses averaged $38\mathrm{.}8\%.$ This year, the company has been growing its business in new locations and expanding its online presence with advertisements.

Study this doughnut chart of the latest annual expenses.

Given this scenario and doughnut chart, what relevant conclusion would you make from this data visualization?

A doughnut chart showing marketing expenses as $50\mathrm{.}1\%,$ payroll expenses as $34\mathrm{.}4\%,$ rent expenses as $9\mathrm{.}4\%,$ and other expenses as $6\mathrm{.}2\%.$

The marketing expenses increased to just over $50\%,$ compared to last year, which coincides with the company$$s strategy to grow and expand $.$

The marketing expenses are the highest expense and must be reduced next year.

The payroll expenses are less than the marketing expenses, which coincides with the company$$s strategy to expand the new hire program.

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Question $5$ of $15$Question

$05/15$

Which of the following statements about the application of data science is correct?

Select all that apply.

Data science projects are happening across industries like e$-$commerce, retail, banking, healthcare, technology, and much more.

Data science projects are happening primarily in finance$-$related industries that focus on revenue growth and increasing profits.

Data science projects are happening around the world to solve problems and help innovations.

Data science projects are happening in organizations working to address global challenges like climate change, poverty, inequity, and terrorism.