Module 2: The wonderful world of data
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In this post, I provide accurate answers and detailed explanations for Module 2: The wonderful world of data of Course 1: Foundations: Data, Data, Everywhere – Google Data Analytics Professional Certificate.
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
Get a read on your analytical skills
Practice Quiz.
1. This practice quiz will help you get a read on the analytical skills you already have.
After you respond to each question, be sure to check the feedback you receive. This will help you check your own thinking against the expected thinking for these questions. The analytical skills assessed in this quiz will come in handy and be further developed as you progress in the program.
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Identify the pattern from left to right in the set of blocks below and try to predict which block should replace the block with the question mark.
Explanation:
The pattern involves squares with dots. The number of dots increases by one in each successive square (1, 2, 3, 4, ?). Therefore, the next square should contain 5 dots, which makes “A square with 5 dots” the correct answer.
2. Here's a more complex pattern. Identify the pattern from left to right in the images below and try to predict which image should come next.
Based on the images above, which option comes next in the pattern?
Explanation:
In this pattern, two elements are changing: the shape and the number of dots. The number of sides of the shapes decreases by one in each step (octagon to heptagon to hexagon, etc.), and the number of dots decreases by one as well. After a square with 3 dots, the next shape should be a triangle with 2 dots, making “A triangle with 2 dots in it” the correct answer.
3. Now, find a pattern in a different format. Select the next number in the sequence:
Fill in the blank: 9, 13, 17, 21, 25, 29, _____
- 25
- 33 ✅
- 55
- 10
Explanation:
This sequence increases by 4 each time: 9, 13, 17, 21, 25, 29, and so on. Adding 4 to 29 gives us 33, so the correct answer is “33.”
4. The following numbers are in a sequence from left to right. Determine the pattern and decide which number should come next:
Fill in the blank: 4, 9, 16, 25, 36, 49, _____
- 62
- 64 ✅
- 81
- 30
Explanation:
The numbers in the sequence are perfect squares: 2² (4), 3² (9), 4² (16), etc. The next number in the sequence should be 8², which is 64. Hence, the correct answer is “64.”
5. The following question is about recognizing and matching patterns in shapes that are the same, but viewed from different angles.
Two shapes are similar when one can become the other after a rotation clockwise ⟳ or counterclockwise ↺, or a reflection horizontally ↔ and/or vertically ↕.
Your task is to choose the figure that completes the statement. Pay attention to the pattern by which the first and second shapes are related, and then figure out which choice matches shape 3. Fill in the blank:
Select the image below that completes the statement.
Explanation:
The pattern in this question involves shape reflections. The first shape is reflected in the second. To complete the analogy, the answer should be an image that reflects the third shape. The correct answer is the option that matches the reflection pattern.
6. The following question is about recognizing and matching patterns in shapes that are the same, but viewed from different angles. Two shapes are similar when one can become the other after a rotation clockwise ⟳ or counterclockwise ↺, or a reflection horizontally ↔ and/or vertically ↕.
Your task is to choose the figure that completes the statement. Fill in the blank:
Which image completes it?
Explanation:
This question asks you to identify a rotated version of the first shape. The pattern follows a 90-degree counter-clockwise rotation, so the correct answer would have been the image that corresponds to this transformation. This question was marked incorrect because the rotation was not followed correctly.
7. The following series of codes are in a sequence from left to right. There is a repeating pattern that you will notice. Determine the pattern and decide which code should come next.
Fill in the blank: A1, B3, C5, D7, E9, F11, G13, _____
- J15
- H16
- H15 ✅
- D17
Explanation:
The sequence alternates between letters in alphabetical order (A, B, C, D, E, F, G) and numbers increasing by 2 (1, 3, 5, 7, 9, 11, 13). Following this pattern, the next code should be H15, making “H15” the correct answer.
8. The following series of codes are in a sequence from left to right. There is a repeating pattern that you will notice. Determine the pattern and decide which sequence of letters should come next.
Fill in the blank: A, AA, AAA, B, BA, BAA, BAAA, BB, BBA, BBAA, BBAAA, BBB, ________
- BBBB
- BBAAA
- BBBA ✅
- BBAA
Explanation:
This sequence follows a pattern where the letter A is added one at a time until three As appear, after which the letter B takes the place of the A. So after “BBB,” the next term is “BBBA,” making “BBBA” the correct answer.
9. Now, identify patterns in a word problem using a data visualization. There are 12 chocolates in a box: eight have caramel filling, six have coconut filling, and two have both caramel and coconut filling. Choose the best image that describes this box of chocolates.
Explanation:
The problem describes a set of chocolates, with some containing caramel filling, some containing coconut filling, and some containing both. The best diagram is one where 6 chocolates have only caramel, 4 have only coconut, and 2 have both. The correct Venn diagram is the one that reflects this distribution.
10. There are 10 children in a class and they have all brought sandwiches for lunch: five children have sandwiches with peanut butter, six children have sandwiches with jelly, and three children have sandwiches with both peanut butter and jelly.
Find out how many children have sandwiches with neither peanut butter nor jelly and choose the image that describes the situation best.
Explanation:
The problem describes 10 children with sandwiches that may have peanut butter, jelly, or both. The correct Venn diagram should show that 5 children have peanut butter sandwiches, 6 have jelly sandwiches, and 3 have both. Since this adds up to 9, the remaining child has neither. The correct diagram should reflect this count. The incorrect answer was chosen because it did not match the exact numbers described in the problem.
Test your knowledge on analytical thinking
Practice Quiz.
11. What practice involves identifying, defining, and solving a problem by using data in an organized, step-by-step manner?
- Context
- Data design
- Analytical thinking ✅
- Visualization
Explanation:
Analytical thinking is the process of breaking down complex problems into smaller components, analyzing data systematically, and finding logical solutions. It’s crucial in data analysis for solving problems efficiently.
12. Which of the following are examples of data visualizations? Select all that apply.
- Maps ✅
- Reports
- Charts ✅
- Graphs ✅
Explanation:
Data visualizations are graphical representations of data, such as maps, charts, and graphs, which help make data trends and patterns easier to understand. Reports, on the other hand, are often text-heavy and focus on summarizing findings rather than visually presenting data.
13. Gap analysis is used to examine and evaluate how a process currently works with the goal of getting to where you want to be in the future.
- True ✅
- False
Explanation:
Gap analysis is a method that identifies the differences between the current state and the desired state of a process or system. It helps organizations plan actions to close these gaps and achieve their goals.
14. Which aspect of analytical thinking involves being able to identify a relationship between two or more pieces of data?
- Correlation ✅
- Data design
- Context
- Visualization
Explanation:
Correlation measures the relationship between two variables to determine how closely they move together. This is a key aspect of analytical thinking when working with datasets to uncover insights and trends.
Test your knowledge on outcomes
Practice Quiz.
15. Fill in the blank: Curiosity, understanding context, and having a technical mindset are all examples of _____ used in data-driven decision-making.
- data models
- business strategies
- analytical skills ✅
- thought processes
Explanation:
Analytical skills encompass curiosity, contextual understanding, and technical proficiency, all of which are critical for interpreting data and making informed decisions.
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
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
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
21. Fill in the blank: Data strategy involves _____ the people, processes, and tools used in data analysis.
- supervising
- managing ✅
- choosing
- visualizing
22. Correlation is the aspect of analytical thinking that involves figuring out the specifics that help you execute a plan.
- True
- 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
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
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
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 ✅
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 ✅
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 ✅
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
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
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
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
33. Identifying the motivation behind the collection of a dataset is an example of the analytical skill of understanding context.
- True ✅
- False
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
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:
Data design focuses on structuring information effectively, while data strategy involves managing the entire system of people, tools, and processes for successful data operations.
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
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
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 ✅
39. Fill in the blank: In data analysis, data strategy involves managing the people, processes, and _____ .
- projects
- procedures
- consent
- tools ✅
40. Identifying a relationship between two or more pieces of data is known as what?
- visualization
- correlation ✅
- problem-orientation
- detail-oriented thinking
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
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 ✅
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 ✅
45. Which analytical skill involves managing the people, processes, and tools used in data analysis?
- Understanding context
- Data design
- Data strategy ✅
- Curiosity
46. The manager at a music shop notices that more trombones are repaired on the days when Alex and Jasmine work the same shift. After some investigation, the manager discovers that Alex is excellent at fixing slides, and Jasmine is great at shaping mouthpieces. Working together, Alex and Jasmine repair trombones faster. The manager is happy to have discovered this relationship and decides to always schedule Alex and Jasmine for the same shifts. In this scenario, the manager used which quality of analytical thinking?
- Visualization
- Problem-orientation
- Correlation ✅
- Big-picture thinking
47. Fill in the blank: In order to get to the root cause of a problem, a data analyst should ask “Why?” ________ times.
- five ✅
- three
- seven
- four
48. A company is receiving negative comments on social media about their products. To solve this problem, a data analyst uses each of their five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. This makes it possible for the analyst to use facts to guide business strategy and figure out how to improve customer satisfaction. What is this an example of?
- Data science
- Gap analysis
- Data-driven decision-making ✅
- Data visualization
49. Data analysts following data-driven decision-making use the analytical skills of curiosity, having a technical mindset, and data design. What other two analytical skills would they employ? Select all that apply.
- knowledge
- data strategy ✅
- efficiency
- understanding context ✅
50. Curiosity is the analytical skill of using your instinct to solve problems.
- True
- False ✅
51. Adding descriptive headers to columns of data in a spreadsheet is an example of which analytical skill?
- Having a technical mindset
- Understanding context ✅
- Data strategy
- Curiosity
52. A company has recently tasked their data science team with figuring out what is causing the decline in production at one of their plants. The data analysts ask a number of questions trying to get to the root cause of the problem. This technique is known as what?
- Inquiry
- The five whys ✅
- Curiosity
- Strategizing
Explanation:
The “five whys” technique involves asking “why” multiple times to drill down to the root cause of an issue.
53. Fill in the blank: Data analysts use the five analytical skills of curiosity, understanding context, having a technical mindset, data design, and data strategy to make _____ decisions.
- forward-looking
- data-driven ✅
- intuitive
- more efficient
54. Fill in the blank: Gathering additional information about data to understand the broader picture is an example of understanding _____.
- data
- knowledge
- problems
- context ✅
Explanation:
Understanding the context means analyzing the surrounding circumstances and factors influencing the data to interpret it accurately and make informed decisions.
55. Data analysts ask, “Why?” five times in order to get to the root cause of a problem.
- True ✅
- False
56. Curiosity is an analytical skill that involves which of the following?
- Seeking out new challenges and experiences ✅
- Working with facts in an orderly manner
- Collaborating to solve a problem
- Using your gut instinct
Explanation:
Curiosity drives data analysts to explore, ask questions, and seek new opportunities to understand and solve problems effectively.
57. A data analyst works for an appliance manufacturer. Last year, the company’s profits were down. Lower profits can be a result of fewer people buying appliances, higher costs to make appliances, or a combination of both. The analyst recognizes that those are big issues to solve, so they break down the problems into smaller pieces to analyze them in an orderly way. Which analytical skill is the data analyst using?
- Data strategy
- A technical mindset ✅
- Understanding context
- Curiosity
58. Fill in the blank: Correlation is the observation that there is a _____ between two or more pieces of data.
- visualization
- competition
- choice
- relationship ✅
59. An airport wants to make its luggage-handling process faster and simpler for travelers. A data analyst examines and evaluates how the process works currently in order to achieve the goal of a more efficient process. What methodology do they use?
- Strategy
- Gap analysis ✅
- Data visualization
- The five whys
60. Fill in the blank: A data analyst with a technical mindset would break things down into smaller steps or pieces and work with them in an orderly and ______ way.
- curious
- clever
- creative
- logical ✅
Explanation:
A logical approach ensures data analysts systematically break down complex tasks and handle them effectively.
61. As a recently promoted data scientist one of your responsibilities is the implementation of data strategy. What would this responsibility include?
- Identifying a relationship between two or more pieces of data
- Evaluating how a process works currently in order to get where you want to be in the future
- Breaking things down into smaller steps or pieces and working with them in an orderly and logical way
- Managing the people, processes, and tools involved ✅
62. Fill in the blank: Being able to identify a relationship between two or more pieces of data describes _____.
- correlation ✅
- detail-oriented thinking
- problem-orientation
- visualization
Explanation: Correlation identifies relationships and patterns between data points, helping analysts make meaningful connections.
63. Fill in the blank: _______ is a method 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:
Gap analysis helps organizations compare current performance with desired goals, identifying areas for improvement.
Related contents:
Module 1: Introducing data analytics and analytical thinking
Module 3: Set up your data analytics toolbox
Module 4: Become a fair and impactful data professional
Module 5: Endless career possibilities
Module 5: *Course challenge*
You might also like:
Course 2: Ask Questions to Make Data-Driven Decisions
Course 3: Prepare Data for Exploration
Course 4: Process Data from Dirty to Clean
Course 5: Analyze Data to Answer Questions
Course 6: Share Data Through the Art of Visualization
Course 7: Data Analysis with R Programming
Course 8: Google Data Analytics Capstone: Complete a Case Study