Module 2: The Wonderful World of Data Answers (Part 3: Q31–45)
This is Part 3 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 31 to 45 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
31. In data analysis, one often examines and evaluates how a process currently works in order to get it to where they want it to be in the future. This is known as what?
- Building a data visualization
- Gap analysis ✅
- Determining the stakeholders
- Asking the five whys
Explanation:
A gap analysis identifies the “gap” between the current state and the desired future state to guide improvement efforts.
32. A company is seeing a decline in organizational efficiency. They decide to hire an outside organization to help increase overall performance. The data analyst, working for the newly contracted company, utilizes five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy to deliver the project goals. Once the project goals are met, the analyst informs the decision makers of their findings and the project is completed. What strategy did the data analyst use to complete this project?
- Gut instinct
- Gap analysis
- Data-driven decision-making ✅
- The five whys
Explanation:
The analyst used data and analytical skills to guide actions and decisions instead of assumptions or guesswork.
33. Identifying the motivation behind the collection of a dataset is an example of the analytical skill of understanding context.
- True ✅
- False
Explanation:
Understanding context involves knowing why data was collected, by whom, and under what circumstances.
34. A technical mindset involves the ability to break things down into smaller steps or pieces and work with them in an orderly and logical way.
- True ✅
- False
Explanation:
A technical mindset is all about logical problem-solving and step-by-step thinking.
35. Data design is how you organize information; data strategy is the management of the people, processes, and tools used in data analysis.
- True ✅
- False
Explanation:
These are complementary—data design focuses on structure; data strategy focuses on execution.
36. What method involves examining and evaluating how a process works currently in order to get where you want to be in the future?
- The five whys
- Strategy
- Gap analysis ✅
- Data visualization
Explanation:
Again, gap analysis is about comparing current and desired states.
37. Seeking out new challenges and experiences in order to learn is an example of which analytical skill?
- Curiosity ✅
- Data strategy
- Understanding context
- Having a technical mindset
Explanation:
Curiosity fuels exploration, deeper questions, and a desire to uncover insights.
38. Which of the following examples best describe the analytical skill of understanding context? Select all that apply.
- Adding descriptive headers to columns of data in a spreadsheet ✅
- Working with facts in an orderly manner
- Gathering additional information about data to understand the broader picture ✅
- Identifying the motivation behind the collection of a dataset ✅
Explanation:
All of these help frame the data properly and avoid misinterpretation.
39. Fill in the blank: In data analysis, data strategy involves managing the people, processes, and _____ .
- projects
- procedures
- consent
- tools ✅
Explanation:
Tools are a critical part of executing data strategy effectively.
40. Identifying a relationship between two or more pieces of data is known as what?
- visualization
- correlation ✅
- problem-orientation
- detail-oriented thinking
Explanation:
Correlation shows whether two data trends move together (positively or negatively).
41. As a new data analyst, your boss asks you to perform a gap analysis on one of their current processes. What does this entail?
- Building a data visualization
- Asking the five whys
- Examining and evaluating how a process works currently in order to get where you want to be in the future ✅
- Determining the stakeholders
Explanation:
It’s used to find discrepancies between “what is” and “what should be.”
42. Fill in the blank: In data-driven decision making, data analysts use five analytical skills of curiosity, understanding context, having a technical mindset, data design, and _______ .
- data strategy ✅
- forward-looking
- intuition
- efficiency
Explanation:
Data strategy ensures that data analysis aligns with organizational goals by effectively managing resources like people, tools, and processes.
43. The analytical skill of understanding context entails which of the following?
- Breaking things down into smaller steps or pieces
- Managing people, processes, and tools
- Balancing roles and responsibilities
- Understanding the condition in which something exists or happens ✅
Explanation:
This ensures data is analyzed with full awareness of its environment.
44. Fill in the blank: _____ involves the ability to break things down into smaller steps or pieces and work with them in an orderly and logical way.
- Data strategy
- Curiosity
- Context
- A technical mindset ✅
Explanation:
This mindset helps in logical sequencing and problem-solving.
45. Which analytical skill involves managing the people, processes, and tools used in data analysis?
- Understanding context
- Data design
- Data strategy ✅
- Curiosity
Explanation:
It ensures the data analysis effort is effectively coordinated.
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