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Listening Quiz: Xây Dựng Câu Chuyện Dữ Liệu Rõ Ràng Cho Ban Điều Hành – Advanced Level
Th8 13, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of Laura and Kevin’s conversation?
Debating which software to buy for the office
Discussing how to train new employees
Organizing a company social event
Planning a clear data presentation for executives
Explanation:
They talk about creating a strong data story for executives, including key insights, visuals, and recommendations.
2.
What kind of insights does Laura say they must highlight first?
Details about the company budget
Trends that show clear growth
Customer complaints from last year
Information about employee schedules
Explanation:
Laura says, ‘We must highlight key insights first,’ and then specifies ‘The trends that show clear growth.’
3.
What does Laura say works best for presenting the information?
A mix of charts and stories
Only long written reports
A single detailed spreadsheet
A formal speech without visuals
Explanation:
Laura directly says, ‘A mix of both works best,’ referring to charts or stories.
4.
What can be inferred about the audience for this data story?
They need information that helps them make quick decisions
They are more interested in design than content
They prefer entertainment over business data
They already know every detail in advance
Explanation:
Kevin says the direct, data-based recommendation helps executives make quick decisions, so the audience likely needs concise decision-making support.
5.
What should the final recommendation be like?
Open-ended and uncertain
Direct and data-based
Long and highly technical
Based mainly on personal opinion
Explanation:
Laura says, ‘It must be direct and data-based.’
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