Get Practiced and Graded Foundations: Data, Data, Everywhere Quiz Answers
Welcome to your comprehensive guide for the Foundations: Data, Data, Everywhere quiz answers! Whether you’re working on practice quizzes or tackling the graded quizzes, this post has everything you need. Covering all modules of the course, this guide will help you save time and succeed in your learning journey.
Table of Contents
Foundations: Data, Data, Everywhere Module 01 Quiz Answers
Test your knowledge on the data ecosystem Quiz Answers
Q1. In your role as a data professional, you examine a dataset of taxi rides to determine which hour of the day typically has the highest demand. Under which discipline does this example best fall?
Correct Answer: Data analysis
Explanation: This task involves examining and interpreting data to identify patterns, which is a core function of data analysis.
Q2. Fill in the blank: A _____ encompasses the various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data.
Correct Answer: Data ecosystem
Explanation: A data ecosystem refers to the interconnected framework of tools, processes, and people that enable the handling of data across its lifecycle.
Q3. When building data into business strategy, why is it important to include insights from subject-matter experts?
Correct Answer:
- They are familiar with the business problem.
- Their experience and human intuition are valuable to data-driven decision-making.
- They can review analysis results and help identify inconsistencies.
Explanation: Subject-matter experts provide contextual knowledge, ensure alignment with business goals, and validate the accuracy of data insights.
Q4. An e-commerce website collects, observes, and analyzes its customers’ online behaviors. Then, it uses the insights gained to choose when to put certain products on sale. What business practice does this describe?
Correct Answer: Data-driven decision-making
Explanation: Data-driven decision-making involves using data insights to inform and guide strategic business decisions.
Test your knowledge on data analyst skills Quiz Answers
Q1. Fill in the blank: Analytical skills are the qualities and characteristics associated with using _____ to solve problems.
Correct Answer: Facts
Explanation: Analytical skills rely on objective information, such as facts, to address and resolve problems effectively.
Q2. An acquaintance tells you that they spend many hours each day “playing.” To learn more, you ask them whether they play sports, a musical instrument, or something else. Their answer helps you clarify the meaning of their statement. What does this scenario describe?
Correct Answer: Understanding context
Explanation: This scenario demonstrates the importance of understanding context to interpret ambiguous information accurately.
Q3. Which analytical skill involves the ability to break things down into smaller steps and work with them in an orderly and logical way?
Correct Answer: Technical mindset
Explanation: A technical mindset enables individuals to decompose complex problems into manageable and logical steps.
Q4. Fill in the blank: The analytical skill _____ encompasses how someone organizes information.
Correct Answer: Data design
Explanation: Data design involves structuring and organizing data effectively to facilitate analysis and decision-making.
Test your knowledge on analytical thinking and outcomes Quiz Answers
Q1. Fill in the blank: Analytical thinking involves _____ a problem, then solving it by using data in an organized, step-by-step manner.
Correct Answer: Identifying and defining
Explanation: Analytical thinking starts with identifying and clearly defining a problem to approach its resolution systematically with data.
Q2. What type of data visualization might an analyst create in order to communicate data insights to others? Select all that apply.
Correct Answer: Graph, Map, Chart
Explanation: Analysts use visualizations like graphs, maps, and charts to present data insights clearly and effectively for better understanding.
Q3. While planning a roadtrip, you figure out all of the specific stops you need to take along the way. You also consider how often you’ll stop for gas, meals, and sleep. Having this information enables you to execute your plan. What does this scenario describe?
Correct Answer: Detail-oriented thinking
Explanation: This scenario illustrates detail-oriented thinking, focusing on specific elements and steps required for successful execution.
Q4. What is a method for examining and evaluating how a process works currently in order to get to an improved future state?
Correct Answer: Gap analysis
Explanation: Gap analysis evaluates the current state of a process to identify the gap between it and a desired future state, guiding improvement efforts.
Foundations: Data, Data, Everywhere Module 01 Challenge Quiz Answers
Q1. Which of the following statements correctly describe data and data analysis? Select all that apply.
Correct Answer:
- Collecting data is part of the data analysis process.
- Data is a collection of facts.
- One goal of data analysis is to make predictions.
Explanation: Data analysis involves collecting, organizing, and interpreting data (facts) to derive meaningful insights, including making predictions.
Q2. Fill in the blank: Data science involves using _____ data to create new ways of modeling and understanding the unknown.
Correct Answer: Raw
Explanation: Data science begins with raw data, which is processed and analyzed to create innovative models and understandings.
Q3. Which of the following activities are elements of data-driven decision-making? Select all that apply.
Correct Answer:
- Find and analyze relevant data.
- Ask subject-matter experts to review the results.
- Figure out the business need or problem to be solved.
Explanation: Data-driven decision-making involves identifying business needs, analyzing relevant data, and incorporating expert insights to ensure actionable outcomes.
Q4. A pet shelter wants to receive 15% more donations at this year’s holiday fundraiser than were given in previous years. Data team members look into past donations compared to desired donations for this holiday season. They then develop strategies to bridge the difference between the two. What does this scenario describe?
Correct Answer: Gap analysis
Explanation: Gap analysis identifies the difference between the current state and desired state, developing strategies to bridge the gap.
Q5. Fill in the blank: Data analysts use a problem-oriented approach in order to _____, describe, and solve problems.
Correct Answer: Identify
Explanation: Data analysts identify problems as a first step in analyzing and solving them effectively.
Q6. Which of the following are examples of analytical thinking? Select all that apply.
Correct Answer:
- Noting that just because two pieces of data trend in the same direction, it does not necessarily mean they are related.
- Identifying and defining a problem, then solving it by using data in an organized manner.
- Considering the best graphical formats to visually communicate information.
Explanation: Analytical thinking involves logical problem-solving, critical assessment of data, and selecting effective communication methods.
Q7. A data team at a national bank plans a project about its customer bill-paying tool. They apply analytical thinking to decide what they want to achieve with the data. This helps ensure the data is valuable and will help them accomplish their goals. Which aspect of analytical thinking does this scenario describe?
Correct Answer: Big-picture thinking
Explanation: Big-picture thinking ensures that data analysis aligns with overarching goals and objectives.
Q8. What is the root cause of a problem?
Correct Answer: Why the problem occurs
Explanation: The root cause is the fundamental reason behind the problem, which must be addressed for effective resolution.
Q9. A data professional is always interested in learning new skills and gaining knowledge. They often seek out challenging assignments at work and professional development experiences. Which analytical skill does this scenario describe?
Correct Answer: Curiosity
Explanation: Curiosity drives data professionals to seek knowledge and take on challenges, fostering growth and innovation.
Q10. Which of the following examples demonstrate data-driven decision-making? Select all that apply.
Correct Answer:
- A grocery store polls customers about their brand preferences, then uses the survey results to determine which items to stock.
- A manufacturing company uses documented information about production processes to improve efficiency.
- A hospital uses statistics in health records to identify patients who may be at risk for certain diseases.
Explanation: Data-driven decision-making uses factual data to make informed choices, improving outcomes and efficiency.
Foundations: Data, Data, Everywhere Module 02 Quiz Answers
Test your knowledge on the data life cycle Quiz Answers
Q1. There are six phases in the data life cycle, which culminate with analyze, archive, and destroy. What is the correct order of the first three phases?
Correct Answer: Plan, capture, manage
Explanation: The first three phases of the data life cycle are planning (deciding what data is needed), capturing (collecting the data), and managing (organizing and maintaining it).
Q2. Fill in the blank: During the _____ phase, data teams decide what kind of data is needed and who will be responsible for it.
Correct Answer: Planning
Explanation: In the planning phase, teams define data requirements, assign responsibilities, and set objectives for its use.
Q3. A data team considers how and where data will be stored, what tools are required to safeguard it, and how to maintain it properly. What phase of the data life cycle does this scenario describe?
Correct Answer: Manage
Explanation: The manage phase involves organizing, securing, and maintaining data for proper usage and long-term availability.
Q4. What is the term for the computer system in which organizations store their data?
Correct Answer: Database
Explanation: A database is a structured computer system used to store, organize, and retrieve data efficiently.
Test your knowledge on the data analysis process Quiz Answers
Q1. A junior data analyst is assigned a new project. They define the problem that they need to help solve and confirm they understand expectations. Which step of the data analysis process are they working in?
Correct Answer: Ask
Explanation: The “Ask” step involves defining the problem, understanding objectives, and clarifying expectations to ensure alignment before proceeding with analysis.
Q2. What is the term for people who invest time and resources into a project and are interested in the outcome?
Correct Answer: Stakeholders
Explanation: Stakeholders are individuals or groups who have a vested interest in the project’s success and its outcomes, as they are directly or indirectly affected by the results.
Q3. Fill in the blank: In the process step, data analysts may remove _____, which are data points that lie significantly outside the overall pattern of the data and could potentially skew the information.
Correct Answer: Outliers
Explanation: Outliers are unusual data points that do not follow the expected pattern and can distort the results, so they are often addressed during the data preparation phase.
Q4. Which step of the data analysis process is most likely to involve creating visuals that help people understand complex facts and figures?
Correct Answer: Share
Explanation: The “Share” step includes presenting insights through visualizations such as charts, graphs, and dashboards to make complex data comprehensible to stakeholders.
Test your knowledge on the data analysis toolbox Quiz Answers
Q1. What is the term for a digital worksheet that data analysts use to store, organize, and sort data?
Correct Answer: Spreadsheet
Explanation: A spreadsheet is a digital tool used by analysts to manage, organize, and analyze data in tabular form.
Q2. What is a key difference between a formula and a function?
Correct Answer: A formula is a set of instructions, whereas a function is a preset command.
Explanation: A formula is a user-defined instruction that calculates a value, while a function is a built-in command designed to simplify complex tasks.
Q3. What does SQL stand for?
Correct Answer: Structured query language
Explanation: SQL is a standard programming language used to manage and query relational databases.
Q4. Which tool in the data analysts’ toolbox is most likely to involve the creation of graphs, maps, or charts?
Correct Answer: Data visualization
Explanation: Data visualization tools are specifically designed to represent data graphically, making it easier to understand patterns, trends, and insights.
Foundations: Data, Data, Everywhere Module 02 Challenge Quiz Answers
Q1. Which of the following activities are part of the manage phase of the data life cycle? Select all that apply.
Correct Answers:
- Consider how best to care for data
- Choose where the data will be stored
- Determine which tools will be most effective at safeguarding data
Explanation: The manage phase focuses on data storage, safeguarding, and ensuring it’s accessible and well-maintained.
Q2. Which spreadsheet feature uses a set of instructions to perform calculations, such as addition or subtraction?
Correct Answer: Formula
Explanation: A formula is a set of instructions entered by the user to perform calculations.
Q3. Which of the following statements correctly describe the archive and the destroy phases of the data life cycle? Select all that apply.
Correct Answers:
- Archiving means storing data, although it may not be used again.
- A key reason for destroying data is to protect sensitive customer information.
- Shredders may be used to destroy data that is on paper.
Explanation: Archiving stores unused data, while destruction focuses on protecting privacy by disposing of sensitive information.
Q4. What tasks may occur during the ask step of the data analysis process? Select all that apply.
Correct Answers:
- Define the problem to be solved
- Stay engaged by having a dialogue with stakeholders
Explanation: The ask step involves defining the problem and collaborating with stakeholders to align the analysis with business needs.
Q5. Fill in the blank: During the prepare step of the data analysis process, data is collected and _____ for analysis.
Correct Answer: modified
Explanation: In the prepare step, data is collected, cleaned, and modified to be ready for analysis.
Q6. A data professional at a beauty products enterprise is assigned a task related to customer buying habits. They think about what type of data they need to be successful, as well as optimal project outcomes. What phase of the data life cycle does this scenario describe?
Correct Answer: Plan
Explanation: In the plan phase, the data team determines the data needed and outlines the project objectives.
Q7. A data team at a national retail brand wants to understand why customers return certain items. They have two datasets containing statistics about returns. They clean them, then combine them in order to make the information more complete. What step of the data analysis process does this scenario describe?
Correct Answer: Prepare
Explanation: The prepare step involves cleaning and combining data to ensure it is ready for analysis.
Q8. Fill in the blank: During the _____ step of the data analysis process, data team members use tools such as SQL to make predictions.
Correct Answer: Analyze
Explanation: In the analyze step, tools like SQL are used to analyze data and make predictions.
Q9. What are some key benefits of data visualizations? Select all that apply.
Correct Answers:
- Graphs and charts offer a clear and concise overview of the data.
- Insights that are visualized can be more quickly shared and understood.
- Data visualizations enable stakeholders to identify trends more easily.
Explanation: Visualizing data helps convey insights clearly and enables easier identification of trends.
Q10. Fill in the blank: A university system gathers historical academic data from an outside database and information from the internal records of student applications. This work occurs during the _____ phase of the data life cycle.
Correct Answer: Capture
Explanation: The capture phase involves gathering and collecting data from internal and external sources.
Foundations: Data, Data, Everywhere Module 03 Quiz Answers
Test your knowledge on SQL and data visualization Quiz Answers
Q1. Which part of the following query requests that all columns from the table be selected?
Correct Answer: Asterisk ()
Explanation: The asterisk () in the SELECT statement specifies that all columns from the specified table should be selected.
Q2. Which part of the following query indicates the table from which to retrieve data?
Correct Answer: FROM
Explanation: The FROM keyword specifies the table from which to retrieve data in SQL queries.
Q3. In the following query, data will be retrieved from which table?
Correct Answer: Inventory
Explanation: The FROM clause in the query specifies that the data will be retrieved from the “inventory” table.
Q4. In which of the following scenarios would a line chart be the most appropriate visualization?
Correct Answer: When showing the change in someone’s salary over time
Explanation: A line chart is ideal for showing trends or changes over time, making it suitable for tracking salary changes.
Foundations: Data, Data, Everywhere Module 03 Challenge Quiz Answers
Q1. In this spreadsheet, what type of tree is in cell C2?
Correct Answer: Sycamore
Explanation: The list in the spreadsheet shows the trees, and the tree in cell C2 is “Sycamore.”
Q2. In the following query, what will be retrieved from the database?
Correct Answer: All kindergarteners at Riverside Elementary
Explanation: The query specifies that it will retrieve all data related to kindergarten students from the “Riverside Elementary” table.
Q3. Which of the following statements accurately describe spreadsheet attributes and observations?
Correct Answer:
- An attribute is a characteristic or quality of data.
- Attributes are often referred to as column names or headers.
- An observation is a spreadsheet row.
Explanation: An attribute refers to the data type or characteristics in each column, and an observation refers to each row of data.
Q4. A data team at a public university wants to communicate to stakeholders about which foreign language courses are most popular with students. They create a data visualization that identifies the 38 different courses, then shows the number of students enrolled in each one. What type of data visualization should they create?
Correct Answer: Bar chart
Explanation: A bar chart is ideal for comparing different courses and showing the number of students enrolled in each.
Q5. When working in a spreadsheet, what is the correct syntax for a formula that adds the value in cell F9 to the value in cell G9?
Correct Answer: =F9+G9
Explanation: The correct formula to add two cells together is “=F9+G9”.
Q6. Fill in the blank: The SQL clause SELECT * is used to retrieve all data from a particular _____.
Correct Answer: table
Explanation: The SELECT * query retrieves all data from a specified table in the database.
Q7. In the following query, which clause indicates the table from which to retrieve data?
Correct Answer: FROM Wood
Explanation: The FROM clause specifies the table from which to retrieve data.
Q8. Which text wrapping feature allows the text within a spreadsheet cell to continue into the next cell, if it is empty?
Correct Answer: Overflow
Explanation: The “Overflow” feature allows text to spill into adjacent empty cells in a spreadsheet.
Q9. Which of the following statements accurately describe data visualizations and visualization tools?
Correct Answer:
- When working with the programming language R, an integrated developer environment enables the creation of data visualizations.
- Tableau makes it possible to integrate data into dashboard-style visualizations.
- Spreadsheets have visualization tools that enable data professionals to create line or bar charts.
Explanation: These statements accurately describe the capabilities of different tools used for data visualizations.
Q10. A data professional wants the data in column A to be in alphabetical order from A to Z. What spreadsheet feature would enable them to accomplish this task?
Correct Answer: Sort range
Explanation: The “Sort range” feature in spreadsheets allows users to arrange data in alphabetical order.
Foundations: Data, Data, Everywhere Module 04 Quiz Answers
Test your knowledge on making fair business decisions Quiz Answers
Q1. In a data analytics context, what is a business task?
Correct Answer: The question answered, or problem solved, by data analysis
Explanation: A business task in data analytics refers to the problem or question that data analysis is aimed at solving or answering.
Q2. Fill in the blank: Fairness means ensuring that bias is neither created nor _____ by the data analysis process.
Correct Answer: reinforced
Explanation: In the context of data analysis, fairness ensures that bias is not reinforced, maintaining objectivity in the insights and outcomes.
Q3. What are some strategies data professionals use to ensure their data analysis is unbiased?
Correct Answer:
- Ensure anything shared with stakeholders is presented in context
- Consider the complicated social contexts that could create bias
- Prioritize fairness during data collection
Explanation: Data professionals mitigate bias by considering context, being mindful of social factors, and ensuring fairness throughout the data collection process.
Q4. A data professional notices that their dataset is imbalanced and therefore is not representative of the entire population. They work to get more responses from nondominant groups in order to address this issue and ensure data insights are fair. What does this scenario describe?
Correct Answer: Oversampling
Explanation: Oversampling is a technique used to balance datasets by collecting more data from underrepresented or nondominant groups.
Foundations: Data, Data, Everywhere Module 04 Challenge Quiz Answers
Q1. Which of the following statements accurately describe fairness considerations in data analysis?
Correct Answer:
- A data professional may include self-reported data when prioritizing fairness.
- Best practices for fairness in data analysis include identifying surrounding factors.
- Effective data analysts help create systems that are fair and inclusive to everyone.
Explanation: Fairness considerations involve using self-reported data to ensure inclusivity, understanding context, and creating equitable systems in data analysis.
Q2. An HR firm is filling open positions for administrative assistants, so they purchase online help-wanted ads. Research reveals that 87% of administrative assistants are women, so the data team decides that women are more likely to be successful applicants. Therefore, they target the ads to female job seekers. What should they have done instead?
Correct Answer: Conduct more research to understand the surrounding factors of this situation.
Explanation: The data team should have taken a broader look at the surrounding context and factors, such as gender equality and job requirements, before making assumptions about the target audience.
Q3. Which fairness best practice is intended to help data teams better understand the context surrounding their data analysis conclusions?
Correct Answer: Identify surrounding factors
Explanation: Identifying surrounding factors helps the team to understand the broader context and avoid misinterpretations that may arise from incomplete analysis.
Q4. A political candidate surveys voters to learn about their opinions on key issues. The politician’s data team notices that most respondents are people who have already voted in the current election. The fairness of the survey could be improved by over-sampling people from which group?
Correct Answer: People who have not yet voted in the election
Explanation: Oversampling people who have not yet voted ensures that the survey data represents the views of a more diverse voter group.
Q5. Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis.
Correct Answer: business task
Explanation: A business task refers to the specific question or problem that the executive wants to address through data analysis.
Q6. A data professional at a grocery store considers fairness when collecting data. Rather than having store associates share observations, they create a survey that asks customers to provide information about their own shopping experiences. This helps avoid any unconscious bias that might be introduced by the sales associates. Which fairness best practice does this scenario describe?
Correct Answer: Self-reporting
Explanation: Self-reporting helps mitigate unconscious bias and provides more accurate data by allowing individuals to share their own experiences.
Q7. A data analyst at a marketing company determines which advertising campaign will be most successful. Rather than only reviewing data about effective past campaigns, the analyst considers target audience demographics, market trends, competitor campaigns, and more. This enables them to achieve more insightful results. Which fairness best practice does this scenario describe?
Correct Answer: Considering all available data
Explanation: By considering all available data, including demographics and market trends, the analyst ensures a more comprehensive and unbiased view for decision-making.
Q8. Fill in the blank: A data professional ensures their data analysis is fair by considering fairness from _____ of a project.
Correct Answer: beginning to conclusion
Explanation: Fairness should be considered throughout the entire project to ensure that data analysis is objective, inclusive, and unbiased from start to finish.
Frequently Asked Questions (FAQ)
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Absolutely! This guide covers all modules in the course, from Module 1 to the final module
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Course 01: Foundations: Data, Data, Everywhere
Course 02: Ask Questions to Make Data-Driven Decisions
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Course 04: Process Data from Dirty to Clean
Course 05: Analyze Data to Answer Questions
Course 06: Share Data Through the Art of Visualization
Course 07: Data Analysis with R Programming
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