Welcome to the ultimate guide for Ask Questions to Make Data-Driven Decisions quiz answers! Whether you’re tackling practice quizzes to enhance your skills or preparing for the graded quizzes to test your knowledge, this post provides the solutions you need. With answers for all modules, you’re just a step away from acing your quizzes and mastering the art of data-driven decision-making.
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Table of Contents
Ask Questions to Make Data-Driven Decisions Module 01 Quiz Answers
Test your knowledge on taking action with data Quiz Answers
Q1. A data analyst works for an engineering company, which specializes in aircraft design and development. They help their employer choose the best places to advertise, which include a podcast about the latest trends in airplane engineering and a magazine published by an aviation engineering association. What does this scenario describe?
Correct Answer: Reaching a target audience
Explanation: This scenario illustrates the concept of reaching a target audience by selecting advertising platforms that align with the interests and professional focus of aviation engineers.
Q2. Which step of the data analysis process includes collecting data for analysis?
Correct Answer: Prepare
Explanation: The prepare step involves gathering data, ensuring its relevance and quality, and getting it ready for analysis.
Q3. Fill in the blank: When data professionals _____ data, they eliminate inaccuracies by transforming the data into a more useful format and removing outliers.
Correct Answer: clean
Explanation: Cleaning data involves transforming and correcting inaccuracies to make it usable and reliable for analysis.
Q4. Which of the following activities are part of the share step of the data analysis process? Select all that apply.
Correct Answer:
- Summarize analysis results
- Make recommendations
- Use visuals to help people understand data insights
Explanation: The share step involves summarizing findings, using visuals for clarity, and providing actionable recommendations based on the analysis results. Defining the problem occurs in the ask step, not the share step.
Test your knowledge on solving problems with data Quiz Answers
Q1. Which problem type involves assigning information to different groups or clusters based on common features?
Correct Answer: Categorizing things
Explanation: Categorizing involves grouping data into clusters based on shared attributes or characteristics, helping analysts identify and organize patterns effectively.
Q2. A data professional at a snack foods company wants to identify themes related to customer buying patterns and product popularity. How should they proceed?
Correct Answer: Group categorized information into broader concepts
Explanation: Identifying themes involves grouping information into broader concepts to understand larger trends and patterns in customer behavior.
Q3. Fill in the blank: In the _____ problem type, a data analyst finds similar challenges faced by different entities and combines data and insights to address them.
Correct Answer: discovering connections
Explanation: Discovering connections involves linking similar challenges or insights across different entities to generate comprehensive solutions.
Q4. Which problem type involves using historical data to understand what happened in the past and is therefore likely to happen again?
Correct Answer: Making predictions
Explanation: Making predictions involves analyzing historical data trends to forecast future occurrences or behaviors based on past patterns.
Test your knowledge on crafting effective questions Quiz Answers
Q1. A data analyst uses the SMART methodology to create a question that encourages change. In the SMART methodology, how is this question type described?
Correct Answer: Action-oriented
Explanation: In the SMART methodology, “action-oriented” questions are designed to inspire change or motivate actionable outcomes, making them effective for driving results.
Q2. What is prioritized when asking a specific SMART question? Select all that apply.
Correct Answer:
- Keeping the question simple
- Focusing on a single topic or a few closely related ideas
Explanation: A specific SMART question should be simple and focused to ensure clarity and relevance, avoiding unnecessary complexity or ambiguity.
Q3. A data analyst working for a coffee roaster is writing questions for a customer experience survey. One of the questions asks, “Do you prefer online or in-store?” Then, they rewrite it to ask, “Do you prefer purchasing coffee beans through our online marketplace or by shopping at our retail store?” Why is this a more effective question?
Correct Answer: The first question is vague, whereas the second question includes important context.
Explanation: Providing specific context in the second question clarifies the choices and ensures respondents can give meaningful and relevant answers.
Q4. A data team at a high-tech company writes questions for a focus group. They use common abbreviations such as PLS for “please” and LMK for “let me know.” A supervisor then suggests spelling everything out in order to ensure the questions are fair. What are they trying to achieve?
Correct Answer: Presenting questions with straightforward wording
Explanation: Spelling out abbreviations ensures clarity and fairness, avoiding potential confusion or misinterpretation among respondents.
Ask Questions to Make Data-Driven Decisions Module 01 Challenge Quiz Answers
Q1. Fill in the blank: When solving the finding patterns problem type, a junior data analyst at a home goods retailer provider analyzes sales data from the past three years. They then use this information to understand what led to slumps in customer demand and what is likely to cause them again.
Correct Answer: Finding patterns
Explanation: The finding patterns problem type involves analyzing historical data to uncover trends or recurring issues, which is essential in understanding and predicting customer demand slumps.
Q2. Which of the following statements correctly describe the SMART methodology? Select all that apply.
Correct Answer:
- Relevant questions lead to answers that help solve the problem.
- Time-bound questions specify the time to be studied.
Explanation: SMART methodology emphasizes creating questions that are Specific, Measurable, Action-oriented, Relevant, and Time-bound to ensure meaningful and actionable outcomes.
Q3. A transportation and logistics provider aims to devise new delivery routes. They use an algorithm to monitor current traffic patterns and develop business intelligence about the busiest roads and intersections. Which data problem type does this scenario describe?
Correct Answer: Making predictions
Explanation: This scenario involves using data about current traffic patterns to forecast and optimize future delivery routes, a characteristic of the making predictions problem type.
Q4. For what reasons would it be unfair for a supermarket to ask customers, “Why do you believe our products are the best on the market?” Select all that apply.
Correct Answer:
- It is a leading question
Explanation: This question is unfair because it assumes that customers already believe the supermarket’s products are the best, leading them toward a particular response.
Q5. Fill in the blank: When solving the spotting something unusual problem type, a junior data analyst identifies a technological breakthrough that is likely to disrupt their industry.
Correct Answer: Spotting something unusual
Explanation: Spotting something unusual involves identifying outliers or anomalies, such as a disruptive technological breakthrough in this case.
Q6. A junior data analyst sorts sales data by product category. Then, they group that information into broader concepts, such as customer demographic and geographic region. Which data problem type does this scenario describe?
Correct Answer: Identifying themes
Explanation: Identifying themes involves organizing information into broader concepts or patterns to uncover meaningful insights.
Q7. Which of the following questions are open-ended? Select all that apply.
Correct Answer:
- What are you most looking forward to in the coming year?
- How would you describe this movie?
Explanation: Open-ended questions allow for more detailed responses and encourage elaboration, unlike closed-ended questions, which limit answers to specific options.
Q8. The supplier of a key component of a variety of products has a quality control issue. This causes problems for both the supplier and the manufacturing companies that use the component in their products. All of the affected businesses discuss the issues they face and share data openly, ultimately discovering they have many similar challenges. What data problem type are they solving?
Correct Answer: Discovering connections
Explanation: Discovering connections involves finding relationships or commonalities among entities, as seen when the businesses share data and uncover similar challenges.
Q9. Fill in the blank: The question, “Which processes can we streamline by using technology more effectively?” is action-oriented because it encourages change.
Correct Answer: Action-oriented
Explanation: Action-oriented questions focus on driving change or improvements, as this question aims to streamline processes through technology.
Q10. A data analyst working for a health care provider is asked to determine which clinics are most efficient and which are least efficient. They review performance data, then group the clinics accordingly. Which data problem type does this scenario describe?
Correct Answer: Categorizing things
Explanation: Categorizing things involves grouping entities based on shared characteristics, such as clinic performance in this scenario.
Ask Questions to Make Data-Driven Decisions Module 02 Quiz Answers
Test your knowledge on the power of data Quiz Answers
Q1. Which of the following statements accurately describe data? Select all that apply.
Correct Answer:
- Data is used to help organizations make more informed decisions.
- Data is a collection of facts.
- Data can reveal important patterns, trends, and insights.
Explanation: Data serves as a collection of facts that organizations use to make informed decisions. It can reveal patterns, trends, and insights, though it does have limitations depending on the source and context.
Q2. Fill in the blank: An algorithm is a process or set of rules that may be followed in order to perform a specific task.
Correct Answer: Algorithm
Explanation: An algorithm is a well-defined process or set of rules designed to solve problems or perform specific tasks, often used in data analysis and computing.
Q3. A data professional at a web design firm collects data about website users. The data indicates the number of times each user visits the website. It also shows the duration of their visits, in seconds. What type of data is being collected?
Correct Answer: Quantitative
Explanation: Quantitative data is numerical and measurable, such as the number of visits and the duration in seconds.
Q4. A human resources manager collects feedback from employees during their exit interviews. The employees are asked to share their feelings about company culture, which benefits they enjoyed most, and suggestions for ways to improve performance. What type of data is the manager collecting?
Correct Answer: Qualitative
Explanation: Qualitative data is descriptive and subjective, focusing on opinions, feelings, and suggestions rather than numerical measures.
Test your knowledge on following the evidence Quiz Answers
Q1. Stakeholders at a utility company request insights summarizing the past month’s business results. The information will include high-level, historical data about electricity usage. What type of deliverable should the data team provide?
Correct Answer: Report
Explanation: A report is the most appropriate deliverable for presenting high-level, historical data. It summarizes past business results in a structured, easily digestible format.
Q2. What are some key benefits of dashboards? Select all that apply.
Correct Answer:
- Ability to monitor live data
- Easy access for stakeholders
Explanation: Dashboards are interactive tools that allow stakeholders to easily access and monitor live data. They streamline the process of analyzing real-time information, though they may require periodic maintenance and cleaning of input data.
Q3. Fill in the blank: A data analyst creates a pivot table when using spreadsheets in order to summarize, count, or average data from a worksheet.
Correct Answer: Spreadsheets
Explanation: Pivot tables are a feature in spreadsheets that allow analysts to efficiently summarize, count, or average data, making them a powerful tool for organizing and interpreting large datasets.
Q4. A supervisor presents their data team with a clear objective that was set by company decision-makers and will be evaluated and measured. The data team then uses this objective to drive a work project. What does this scenario describe?
Correct Answer: Data-driven decision-making
Explanation: Data-driven decision-making involves using clearly defined objectives and metrics to guide actions and decisions, ensuring the project aligns with business goals.
Test your knowledge on connecting the data dots Quiz Answers
Q1. What are some characteristics of small data? Select all that apply.
Correct Answer:
- Likely to focus on specific metrics
- Useful when making day-to-day decisions
- Often organized and analyzed using spreadsheets
Explanation: Small data is often limited in scope, focusing on specific metrics or operational aspects. It is easily manageable and frequently analyzed with tools like spreadsheets for daily or short-term decision-making.
Q2. Fill in the blank: Big data typically involves large datasets containing data from long time periods, which has to be organized before analysis.
Correct Answer: Time periods
Explanation: Big data often spans extensive timeframes, generating massive amounts of information that require organization and processing to enable meaningful analysis.
Q3. A data professional works with data that is stored in a database. They use SQL to sort and analyze it in order to ensure the insights are as accurate as possible. What type of data are they most likely using?
Correct Answer: Internal
Explanation: SQL is typically used to manage and analyze structured data stored within an organization’s internal databases, ensuring accurate and accessible insights.
Q4. When considering the benefits and challenges of big data, which of the “four V words” describe the amount of data being analyzed?
Correct Answer: Volume
Explanation: Volume refers to the sheer quantity of data being analyzed, one of the defining characteristics of big data. It reflects the scale and size of datasets.
Ask Questions to Make Data-Driven Decisions Module 02 Challenge Quiz Answers
Q1. A data team at a community center automates a process to segment clients. First, a list of all clients is compiled. Then, they are sorted by the classes they have taken and events attended. Finally, clients are segmented by their activity histories. What does this scenario describe?
Correct Answer: Making a pivot table
Explanation: This scenario describes creating a pivot table, as the data is organized and segmented based on various attributes like classes and events. Pivot tables summarize and sort data dynamically, making them ideal for such tasks.
Q2. Which of the following statements accurately describe qualitative and quantitative data? Select all that apply.
Correct Answer:
- Quantitative data involves specific and objective measures.
- Qualitative data describes explanatory assessments of qualities.
Explanation: Quantitative data is measurable, like numerical values or counts, while qualitative data involves descriptive, non-numerical attributes such as texture, appearance, or opinion.
Q3. When working with big data, analysts consider the veracity of the data within large, complex datasets. What does this entail?
Correct Answer: Evaluating the quality and reliability of the data
Explanation: Veracity refers to the trustworthiness and accuracy of the data. This ensures that insights derived from big data are valid and actionable.
Q4. A data team uses a spreadsheet tool to create a visualization that summarizes financial data by region, facility, and time period. What tool are they using?
Correct Answer: Pivot table
Explanation: Pivot tables are used to summarize and organize data across multiple dimensions, making them an effective visualization tool in spreadsheets for financial summaries.
Q5. Company decision-makers at a gas utility want to improve business performance. How could they use metrics and a metric goal to help them do so?
Correct Answer: Create a metric goal as the business objective. Then, evaluate it using metrics.
Explanation: Setting a metric goal provides a clear business objective, while metrics are used to track progress and evaluate performance against the set goal.
Q6. Which of the following statements correctly describe dashboards and reports? Select all that apply.
Correct Answer:
- Reports are effective at capturing high-level, historical data.
- A dashboard could be used to track hourly error rates when programming code.
- Reports and dashboards are both useful for data visualization.
Explanation: Reports summarize historical data for review, while dashboards are dynamic tools for real-time monitoring and visualization. Both serve distinct but complementary purposes in data analysis.
Q7. Fill in the blank: A company determines the success of an investment using return on investment, which is calculated by comparing the two metrics of investment cost and profit.
Correct Answer: Return on investment
Explanation: Return on investment (ROI) is a widely used metric that compares the profit gained to the cost of the investment, helping measure success or performance.
Q8. What are some typical challenges that may be faced by businesses that are beginning to collect and use big data? Select all that apply.
Correct Answer:
- There may be gaps in big data business tools
- Difficulty finding important data
Explanation: Businesses often struggle with gaps in their tools for managing and analyzing big data and finding relevant data within large, complex datasets. These challenges can hinder effective big data utilization.
Ask Questions to Make Data-Driven Decisions Module 03 Quiz Answers
Test your knowledge on using formulas in spreadsheets Quiz Answers
Q1. What is the operator for a formula that uses division?
Correct Answer: Forward slash (/)
Explanation: The forward slash (/) is the standard operator used in formulas for division in most spreadsheet software.
Q2. Fill in the blank: A cell reference is composed of the letter of the cell’s column and the number of its row.
Correct Answer: Reference
Explanation: A cell reference identifies a specific cell in a spreadsheet by combining its column letter and row number, such as A1 or B2.
Q3. What error message will appear when a formula cannot be interpreted as it is written?
Correct Answer: ERROR
Explanation: Spreadsheet software typically returns an “ERROR” message when a formula cannot be properly interpreted or executed due to incorrect syntax or invalid input.
Q4. What should be done to resolve a NAME error?
Correct Answer: Ensure the formula name is correct.
Explanation: A NAME error occurs when a formula references a function name that is misspelled or not recognized. Correcting the function name resolves this issue.
Test your knowledge on using functions in spreadsheets Quiz Answers
Q1. In this spreadsheet, what will be returned from the function =SUM(B1:B4)?
Correct Answer: 13
Explanation: The sum of the values in cells B1 to B4 is 9 + 3 + 7 + 6 = 25.
Q2. What is the correct way to write a function that will find the average of all values in the range of cells from F1 to F10 in a spreadsheet?
Correct Answer: =AVERAGE(F1:F10)
Explanation: The correct syntax for finding the average of values in the range F1:F10 is =AVERAGE(F1:F10).
Q3. In this spreadsheet, what will be returned from the function =MIN(D1:D4)?
Correct Answer: 0
Explanation: The minimum value in the range D1:D4 is 0.
Q4. What is the correct way to write a function that will find the greatest value in the range of cells from G60 to G100 in a spreadsheet?
Correct Answer: =MAX(G60:G100)
Explanation: The correct syntax to find the maximum value in the range G60 to G100 is =MAX(G60:G100)
Test your knowledge on structured thinking Quiz Answers
Q1. What is the term for the specific area of analysis that encompasses every activity affecting or affected by a problem?
Correct Answer: Problem domain
Explanation: The problem domain refers to the specific area of analysis that includes all the activities directly or indirectly related to a problem.
Q2. What are the key elements of structured thinking? Select all that apply.
Correct Answers:
- Recognize the current problem or situation
- Reveal gaps and opportunities
- Organize available information
Explanation: Structured thinking involves clearly recognizing the problem, organizing the available data, and identifying any gaps or opportunities that could inform a solution.
Q3. Fill in the blank: A scope of work is an agreed-upon _____ of the work you’re going to perform on a project.
Correct Answer: Outline
Explanation: A scope of work provides an outline of the tasks and deliverables that will be part of a project.
Q4. What are some strategies data professionals use to help ensure they work with data that is accurate and fair? Select all that apply.
Correct Answers:
- Ensure an accurate representation of the population in a sample
- Collect data in an impartial manner
- Consider different viewpoints before drawing conclusions
Explanation: To ensure fairness and accuracy, data professionals must use representative samples, be objective in data collection, and consider various perspectives during analysis.
Ask Questions to Make Data-Driven Decisions Module 02 Challenge Quiz Answers
Q1. In this spreadsheet, what will be returned from the formula =A4*D3?
Correct Answer: 8
Explanation: The formula multiplies the value in cell A4 (5) by the value in cell D3 (1). The result is 5 * 1 = 5.
Q2. Fill in the blank: A range is a collection of _____ cells.
Correct Answer: two or more
Explanation: A range refers to two or more cells that are selected or referenced together in a formula.
Q3. What are some common focus areas when creating a scope of work as a data analyst? Select all that apply.
Correct Answers:
- Include key information about data validation
- Note when the client can expect reports
- Establish an agreed-upon outline of the work to be performed
Explanation: A scope of work should include details like data validation, timelines, and an outline of the tasks to be done.
Q4. A data professional troubleshoots a spreadsheet error. After researching the error, they discover that their formula is referencing a column that has been deleted. They update the formula with the correct column name. What type of error did they resolve?
Correct Answer: REF
Explanation: The REF error occurs when a formula refers to a cell that has been deleted or moved.
Q5. In this spreadsheet, which SUM function will add all of the values between cells B1 and D6?
Correct Answer: =SUM(B1:D6)
Explanation: The correct formula to sum all values in the range B1 to D6 is =SUM(B1:D6), which includes all the cells in that range.
Q6. Which of the following statements accurately describe structured thinking and the problem domain? Select all that apply.
Correct Answers:
- The starting place for structured thinking is the problem domain.
- The problem domain is the specific area of analysis that encompasses every activity affecting a problem.
- Structured thinking enables data professionals to identify areas that need deeper investigation and understanding.
Explanation: Structured thinking begins with the problem domain, which includes all relevant activities related to a problem. It helps identify key areas to investigate more thoroughly.
Q7. In this spreadsheet, what should be done to correct the DIV error in cell D3?
Correct Answer: Ensure the formula is not trying to divide by zero or an empty cell.
Explanation: The #DIV/0! error occurs when a formula attempts to divide by zero or an empty cell. Correcting this involves ensuring no division by zero.
Q8. What is the formula for dividing the value in spreadsheet cell H7 by the value in cell H4?
Correct Answer: =H7/H4
Explanation: The correct formula for dividing the value in H7 by H4 is =H7/H4.
Ask Questions to Make Data-Driven Decisions Module 04 Quiz Answers
Test your knowledge on clear communication Quiz Answers
Q1. To communicate clearly, data analysts ask themselves a series of key questions. One is, “Who is my audience?” What are the others? Select all that apply.
Correct Answers:
- What does my audience already know?
- What does my audience need to know?
- How can I communicate effectively to my audience?
Explanation: These questions help analysts tailor their communication to the audience’s knowledge level and needs, ensuring the message is clear and effective.
Q2. A colleague sent you a question via email nearly two days ago. Finding the answer will involve a few hours of research, and you are too busy to do that today. What’s the best course of action?
Correct Answer:
- Reply to the email letting them know when they can expect your response and thanking them for their patience.
Explanation: Communicating your availability and setting expectations helps manage the situation professionally, showing that you are still addressing the request.
Q3. Focusing on stakeholder expectations enables data analysts to achieve what goals? Select all that apply.
Correct Answers:
- Improve communication among teams
- Build trust
- Understand project objectives
Explanation: Focusing on stakeholder expectations leads to better communication, trust, and a clearer understanding of project objectives, helping ensure the project meets stakeholder needs.
Q4. A stakeholder asks a data analyst to produce a report very quickly. What are some strategies the analyst can apply to ensure their work delivers useful results? Select all that apply.
Correct Answers:
- Outline the problem
- Reframe the question
- Set clear expectations about timeframe
Explanation: Outlining the problem, reframing the question, and setting realistic expectations will help the analyst deliver a focused, useful report within the requested timeframe.
Test your knowledge on teamwork Quiz Answers
Q1. When leading a meeting, what are some ways to make sure all participants have a positive experience? Select all that apply.
Correct Answers:
- Prepare notes, a presentation, and an agenda to share with attendees
- Take notes on what is discussed
- Test out technology ahead of time to make sure it works properly
Explanation: Preparation, clear communication, and ensuring that technology works smoothly all contribute to a successful meeting experience for participants.
Q2. To shift a situation from problematic to productive, data analysts can reframe a problem and start a constructive conversation. Which of the following statements are effective for doing that? Select all that apply.
Correct Answers:
- I would be happy to do this project. I will consider the necessary steps and get back to you soon with a time estimate.
- I’d like to help you reach your goal. Let’s discuss how I can do that.
- There may be some other important things I should consider. I’m going to look into that.
Explanation: These responses help shift the conversation to a more constructive tone by showing willingness to collaborate, clarify the process, and explore additional considerations.
Q3. You are working on a project with a coworker, and the situation becomes tense when the two of you disagree on what the data is telling you. What is the best course of action?
Correct Answer:
- Start a conversation enabling each of you to calmly explain your viewpoints and determine an appropriate plan.
Explanation: A calm, open conversation allows both parties to express their viewpoints, leading to a collaborative solution that benefits the project.
Q4. A director emails you asking for a report by the end of the week. This type of report takes at least 10 days to complete. What is the best course of action?
Correct Answer:
- Reply saying that you will be happy to do that, but you believe it will take 10 days to complete. Then, ask if you can discuss a different timeline.
Explanation: Communicating openly about the realistic timeline and suggesting a discussion about a new deadline ensures transparency and sets proper expectations.
Ask Questions to Make Data-Driven Decisions Module 02 Challenge Quiz Answers
Q1. In order to build trust, data professionals focus on the expectations of _____, who are the people investing time, interest, and resources into the project.
Correct Answer:
- stakeholders
Explanation: Stakeholders are the individuals or groups who invest time, resources, and interest in the success of a project, and understanding their expectations is key to building trust.
Q2. What are some strategies to ensure you arrive at meetings prepared? Select all that apply.
Correct Answers:
- Consider what questions you may be asked so you are prepared to answer
- Bring materials to take notes with
- Read the meeting agenda ahead of time
Explanation: Preparation for meetings includes anticipating questions, being ready to take notes, and reviewing the agenda in advance to ensure full readiness.
Q3. A data team prepares to share insights with stakeholders. To ensure they communicate clearly, they follow best practices. Together, they consider four questions, including: Who is our audience? Identify the remaining three questions they should ask. Select all that apply.
Correct Answers:
- What does my audience need to know?
- How can I communicate effectively to my audience?
- What does my audience already know?
Explanation: These questions help ensure that the data team understands the needs, knowledge, and communication preferences of their audience, leading to clearer, more effective communication.
Q4. Your manager assigns you a new project. You tell them that it should only take you a week to finish it. But after beginning the project, you realize that it will actually take closer to two weeks to finish. What should you do?
Correct Answer:
- Explain why the original time frame is not possible and ask your manager how best to proceed.
Explanation: Transparent communication about challenges and adjustments ensures realistic expectations and allows for discussion of an appropriate solution.
Q5. What are some strategies to ensure an online meeting is effective? Select all that apply.
Correct Answers:
- Take the meeting from an area that is free of distractions
- Distribute an agenda beforehand
- Make sure technology is working properly
Explanation: Ensuring the meeting is free of distractions, the agenda is shared in advance, and technology works properly sets the foundation for an effective online meeting.
Q6. A data analyst at a real estate firm investigates a surge in new home buyers. During the analysis, which team is most likely to offer helpful insight about the desires of these home buyers?
Correct Answer:
- Customer-facing
Explanation: Customer-facing teams are directly involved with clients and often have insights into their desires, which can be helpful for understanding trends.
Q7. A data analyst reframes a question. Then, they outline the problem, challenges, potential solutions, and timeframe. What goals are they trying to achieve? Select all that apply.
Correct Answers:
- Communicate expectations
- Put the data in context
- Balance speed with accuracy
Explanation: Reframing questions and outlining key components helps clarify the problem and solutions, ensuring clear communication and context while balancing the need for both speed and accuracy.
Q8. A data analytics team works on a project to measure the success of their company’s new financial strategy. Who is most likely to be the primary stakeholder?
Correct Answer:
- Vice president of finance
Explanation: The vice president of finance is directly responsible for financial strategies and would likely be the primary stakeholder in a project measuring the success of a financial initiative.
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Foundations: Data, Data, Everywhere
All Course Quiz Answers of Google Data Analytics Professional Certificate
Course 01: Foundations: Data, Data, Everywhere
Course 02: Ask Questions to Make Data-Driven Decisions
Course 03: Prepare Data for Exploration
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
Course 08: Google Data Analytics Capstone: Complete a Case Study