Module 2: The Wonderful World of Data Answers (Part 2: Q16–30)
This is Part 2 of the Module 2 quiz answers for “The Wonderful World of Data” from the Google Data Analytics Professional Certificate on Coursera.
Here, we’ll walk through questions 16 to 30 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
16. Surveying customers about their preferences and using that information to inform business strategy is an example of data-driven decision-making.
- True ✅
- False
Explanation:
Data-driven decision-making involves using data, such as customer preferences, to guide business strategies and improve outcomes. Surveying is a common method to collect such data.
17. In data analysis, which analytical skill involves the management of people, processes, and tools?
- Data control
- Data strategy ✅
- Data analytics
- Data design
Explanation:
Data strategy is the practice of managing people, processes, and tools to achieve effective data analysis and decision-making. It focuses on ensuring that data is used efficiently to meet business objectives.
*Module 2 challenge*
Graded Quiz.
18. A junior data analyst is seeking out new experiences in order to gain knowledge. They watch videos and read articles about data analytics. They ask experts questions. Which analytical skill are they using?
- Data strategy
- Having a technical mindset
- Curiosity ✅
- Understanding context
Explanation:
Seeking knowledge through videos, articles, and expert questions demonstrates curiosity.
19. Identifying the motivation behind data collection and gathering additional information are examples of which analytical skill?
- Data design
- A technical mindset
- Understanding context ✅
- Data strategy
Explanation:
Understanding context means knowing the reasons behind data collection and seeking relevant details.
20. Having a technical mindset is an analytical skill involving what?
- Managing people, processes, and tools
- Understanding the condition in which something exists or happens
- Breaking things down into smaller steps or pieces ✅
- Balancing roles and responsibilities
Explanation:
A technical mindset involves logically breaking tasks down into smaller, manageable parts.
21. Fill in the blank: Data strategy involves _____ the people, processes, and tools used in data analysis.
- supervising
- managing ✅
- choosing
- visualizing
Explanation:
Data strategy involves managing people, processes, and tools to support data-driven work.
22. Correlation is the aspect of analytical thinking that involves figuring out the specifics that help you execute a plan.
- True
- False ✅
Explanation:
Correlation refers to how variables relate, not about execution planning, making the statement false.
23. What method involves asking numerous questions in order to get to the root cause of a problem?
- Strategizing
- The five whys ✅
- Curiosity
- Inquiry
Explanation:
The five whys technique involves asking “why” multiple times to uncover the root cause of a problem.
24. Gap analysis is a method for examining and evaluating how a process works currently in order to get where you want to be in the future.
- True ✅
- False
Explanation:
Gap analysis is used to evaluate current performance versus future goals to guide improvement.
25. Data-driven decision-making involves the five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. Each plays a role in data-driven decision-making.
- True ✅
- False
Explanation:
Each of the five analytical skills plays a vital role in making informed, data-driven decisions.
26. Fill in the blank: The analytical skill of ______ involves seeking out new experiences in order to gain knowledge.
- understanding context
- having a technical mindset
- data strategy
- curiosity ✅
Explanation:
Curiosity involves a willingness to explore and learn through new experiences and questions.
27. Breaking things down into smaller steps or pieces and working with them in an orderly and logical way describes which analytical skill?
- Data strategy
- Context
- Curiosity
- A technical mindset ✅
Explanation:
A technical mindset means breaking down complex tasks into logical steps for better understanding.
28. In data analysis, data strategy is the analytical skill that involves managing which of the following? Select all that apply.
- People ✅
- Consent
- Tools ✅
- Processes ✅
Explanation:
Data strategy includes managing people, tools, and processes for efficient data use and analysis.
29. A grocery store owner notices that they sell more orange juice during the winter season, when people are more likely to get sick. After observing this for a couple of years, they decide to stock more orange juice during the winter. The store owner is using which quality of analytical thinking?
- detail-oriented thinking
- correlation ✅
- problem-orientation
- visualization
Explanation:
The store owner uses correlation by linking increased orange juice sales with winter illness trends.
30. The five whys is a technique that involves asking, “Why?” five times in order to achieve what goal?
- Identify the root cause of a problem ✅
- Visualize how a process should look in the future
- Put a plan into action
- Use facts to guide business strategy
Explanation:
This technique helps dig deep into a problem by repeatedly asking “why” to uncover the underlying issue instead of just addressing surface symptoms.
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