This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. Show
The material will help you learn how to ask effective questions to make data-driven decisions while connecting with stakeholders’ needs. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Enroll on Coursera Ask Questions to Make Data-Driven Decisions Quiz AnswersAsk Questions to Make Data-Driven Decisions Week 01 Quiz AnswersPractice Quiz-1 AnswersL2 Take action with data:Q1. A data analytics team works to recognize the current problem. Then, they organize available information to reveal gaps and opportunities. Finally, they identify the available options. These steps are part of what process?
Q2. In which step of the data analysis process would an analyst ask questions such as, “What data errors might get in the way of my analysis?” or “How can I clean my data so the information I have is consistent?”
Q3. A data analyst has entered the analyze step of the data analysis process. Identify the questions they might ask during this phase. Select all that apply.
Q4. A data analyst is trying to understand their target audience. They’re asking questions such as, “How can learning more about my target audience help me figure out how to solve this problem?” and “What research do I need to do about my target audience?” The data analyst is in which phase of the data analysis process?
Practice Quiz-2 AnswersL3 Solve problems with data:Q1. A data analyst identifies keywords from customer reviews and labels them as positive or neutral. This an example of which problem type?
Q2. The spotting something unusual problem type could involve which of the following scenarios?
Q3. A data analyst at an online retailer looks at trends in historical sales data. They want to understand what happened in the past and, therefore, is likely to happen again in the future. This an example of which problem type?
Advertisement Practice Quiz-3 AnswersL4 Craft effective questions:Q1. A data analyst uses the SMART methodology to create a question that encourages change. This type of question can be described how?
Q2. A time-bound SMART question specifies which of the following parameters?
Q3. A data analyst working for a mid-sized retailer is writing questions for a customer experience survey. One of the questions is: “Do you prefer online or in-store?” Then, they rewrite it to say: “Do you prefer shopping at our online marketplace or shopping at your local store?” Describe why this is a more effective question.
Q4. A data analyst at a social media company is creating questions for a focus group. They use common abbreviations such as PLS for “please” and LMK for “let me know.” This is fair because the participants use social media a lot and are likely to be technically savvy.
Ask Questions to Make Data-Driven Decisions Weekly challenge 1 AnswersQ1. Structured thinking involves which of the following processes? Select all that apply.
Q2. The prepare step of the data analysis process involves defining the problem you’re trying to solve and understanding stakeholder expectations.
Q3. The share phase of the data analysis process typically involves which of the following activities? Select all that apply.
Q4. A garden center wants to attract more customers. A data analyst in the marketing department suggests advertising in popular landscaping magazines. This is an example of what practice?
Q5. A data analyst is working for a local power company. Recently, many new apartments have been built in the community, so the company wants to determine how much electricity it needs to produce for the new residents in the future. A data analyst uses data to help the company make a more informed forecast. This is an example of which problem type?
Q6. Describe the key difference between the problem types of categorizing things and identifying themes.
Q7. Which of the following examples are closed-ended questions? Select all that apply.
Q8. The question, “Why don’t our employees complete their timesheets each Friday by noon?” is not action-oriented. Which of the following questions are action-oriented and more likely to lead to change? Select all that apply.
Q9. In the SMART methodology, time-bound questions are simple, significant, and focused on a single topic or a few closely related ideas.
Q10. Which of the following questions make assumptions? Select all that apply.
Ask Questions to Make Data-Driven Decisions Week 02 Quiz AnswersPractice Quiz-1 AnswersL2 Understand the power of data:Q1. What is the difference between qualitative and quantitative data?
Q2. Fill in the blank: Data-inspired decision-making deals with exploring different data sources to find out _____.
Q3. Which of the following examples describes using data to achieve business results? Select all that apply.
Q4. If someone is describing their feelings or emotions, it is qualitative data.
Practice Quiz-2 AnswersL3 Follow the evidence:Q1. Fill in the blank: Pivot tables in data processing tools are used to _____ data.
Q2. In data analytics, how are dashboards different from reports?
Q3. Describe the difference between data and metrics.
Q4. Return on Investment (ROI) uses which of the following metrics in its definition?
Practice Quiz-3 AnswersL4 Connecting the data dots:Q1. Describe the key differences between small data and big data. Select all that apply.
Q2. Which of the following is an example of small data?
Q3. The amount of exercise time to burn a minimum of 400 calories is a problem that requires big data.
Ask Questions to Make Data-Driven Decisions Weekly challenge 2 AnswersQ1. Fill in the blank: In data analytics, a process or set of rules to be followed for a specific task is _____.
Q2. Fill in the blank: In data analytics, qualitative data _____. Select all that apply.
Q3. In data analytics, reports use live, incoming data from multiple datasets; dashboards use static collections of data.
Q4. A pivot table is a data-summarization tool used in data processing. Which of the following tasks can pivot tables perform? Select all that apply.
Q5. A metric is a single, quantifiable type of data that can be used for what task?
Q6. Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.
Q7. If a data analyst compares the cost of an investment to the net profit of that investment over a period of time, they’re analyzing the investment scope.
Q8. Fill in the blank: A data analyst is using data to address a large-scale problem. This type of analysis would most likely require _____. Select all that apply.
Ask Questions to Make Data-Driven Decisions Week 03 Quiz AnswersPractice Quiz-1 AnswersL2 Working with spreadsheets:Q1. To sort and filter the data in a spreadsheet, data analysts must use multiple formulas.
Q2. Which time-saving tool do data analysts use to organize data and perform calculations?
Q3. Within a spreadsheet, data analysts use which tools to save time and effort by automating commands? Select all that apply.
Practice Quiz-2 AnswersL3 Using formulas in spreadsheets:Q1. Which of the following are examples of operators used in formulas? Select all that apply. 1 / 1 point
Q2. In a spreadsheet, a function should always start with which of the following operators?
Q3. What is the term for the set of cells that a data analyst selects to include in a formula?
Q4. In a formula, the plus sign (+) is the operator for addition, and the plus-minus (±) is the operator for subtraction.
Q5. If the cells in a spreadsheet contain anything other than numbers, which of the following errors might occur?
Practice Quiz-3 AnswersL5 Save time with structured thinking:Q1. Fill in the blank: In order to save time and money, a data analyst defines the _____ at the start of a project. Select all that apply.
Q2. The outline used to define a data analyst’s contribution to a project is called what?
Q3. To address a vague, complex problem, data analysts break it down into smaller steps. They use a process that helps them recognize the current problem or situation. Then, they organize available information, reveal gaps and opportunities, and identify the options. What process does this scenario describe?
Ask Questions to Make Data-Driven Decisions Weekly challenge 3 AnswersQ1. Both formulas and functions in spreadsheets begin with what symbol?
Q2. Attributes are used in spreadsheets for what purpose?
Q3. Which of the following tasks might be performed using spreadsheets?
Q4. Fill in the blank: Combining formulas and functions enables the function to run based on a _____ set by the formula.
Q5. Which of the following statements describes a key difference between formulas and functions?
Q6. Fill in the blank: Putting data into context helps data analysts eliminate _____.
Q7. Defining the problem domain is part of which data analytics process?
Q8. A data analyst uses structured thinking to recognize the current problem or situation. Select the final step to structured thinking.
Ask Questions to Make Data-Driven Decisions Week 04 Quiz AnswersPractice Quiz-1 AnswersL2 Balance team and stakeholder needs:Q1. As a data analyst, it’s important to communicate often. Sharing detailed notes, creating reports, and using a changelog are all ways to communicate with the people who have invested time and resources in a project. Who are these people?
Q2. The customer-facing team does which of the following activities? Select all that apply.
Q3. The human resources director approaches a data analyst to propose a new data analysis project. The analyst has a lot of experience in human resources and believes the director is taking the wrong approach, and it will lead to some problems. Select the data analyst’s best course of action.
Practice Quiz-2 AnswersL3 Communication is key:Q1. To communicate clearly with stakeholders and team members, there are four key questions data analysts ask themselves. The first is: Who is my audience? Identify the remaining three questions. Select all that apply.
Q2. You’re working on a data analysis project, and you run into an obstacle. You try to find a solution, but you’re having no luck, and now the project is going off schedule. The best course of action is to put in extra hours to keep looking for a solution, rather than bothering your team with the problem.
Q3. A colleague sent you a question via email nearly two days ago. You know it’s going to take a while for you to find the answer because you need to do some research first. You’re too busy to get it done today. What’s the best course of action?
Q4. Focusing on stakeholder expectations enables data analysts to achieve what goals? Select all that apply.
Q5. Setting realistic stakeholder expectations at every stage of a project might involve which of the following tasks? Select all that apply.
Practice Quiz-3 AnswersL4 Recognize data limitations:Q1. A stakeholder has asked a data analyst to produce a report very quickly. What are some strategies the analyst can apply to ensure their work isn’t rushed, answers the right question, and delivers useful results? Select all that apply.
Q2. If a sample size is too small, a few unusual responses can skew the results. To avoid this problem, data analysts aim to collect lots of data and chart trends over longer time periods.
Q3. Asking questions including, “Does my analysis answer the original question?” and “Are there other angles I haven’t considered?” enable data analysts to accomplish what tasks? Select all that apply.
Ask Questions to Make Data-Driven Decisions Weekly challenge 4 AnswersQ1. A data analytics team is working on a project to measure the success of a company’s new financial strategy. The vice president of finance is most likely to be the _____.
Q2. A data analyst is researching the buying behavior of people who shop at a company’s retail store and those who might shop there in the future. During the analysis, it will be important to stay in communication with the team that most often interacts with these shoppers. What is the name of this team?
Q3. To communicate clearly with stakeholders and team members, there are four key questions data analysts ask themselves. One of them is: What does my audience need to know? Identify the remaining three questions. Select all that apply.
Q4. A data analyst feels overworked. They often stay late to finish work, and have started missing deadlines. Their supervisor emails them another project to complete, and this causes the analyst even more stress. How should they handle this situation?
Q5. Data analysts pay attention to sample size in order to achieve what goals? Select all that apply.
Q6. A data analyst has been invited to a meeting. They review the agenda and notice that their data analysis project is one of the topics that will be discussed. They plan to arrive on time and have a pen and paper to take notes. But they do not spend time considering project updates they could share or questions they may be asked. This is okay because they’re not the one running the meeting.
Q7. Which of the following steps are key to leading a professional online meeting? Select all that apply.
Q8. Conflict is a natural part of working on a team. What are some ways to help shift a situation from problematic to productive? Select all that apply.
Next Course Quiz Answers >> Ask Questions to Make Data-Driven Decisions << Previous Course Quiz Answers 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 Ask Questions to Make Data-Driven Decisions Course Review:In our experience, we suggest you enroll in the Ask Questions to Make Data-Driven Decisions Course and gain some new skills from Professionals completely free and we assure you will be worth it. Ask Questions to Make Data-Driven Decisions course is available on Coursera for free, if you are stuck anywhere between quiz or graded assessment quiz, just visit Networking Funda to get Ask Questions to Make Data-Driven Decisions Quiz Answers This Course is a part of the Google Data Analytics Professional Certificate Conclusion:I hope this Ask Questions to Make Data-Driven Decisions Quiz Answers would be useful for you to learn something new from this Course. If it helped you then don’t forget to bookmark our site for more Coursera Quiz Answers. This course is intended for audiences of all experiences who are interested in learning about Data Analytics in a business context; there are no prerequisite courses. Keep Learning! Which of the following questions do data analysts ask to make sure they will engage their audience select all that apply?Solution. To engage their audience, data analysts ask about what roles the people in the audience play, their stake in the project, and what they hope to do with the data insights.
What questions do data analysts ask?General data analyst interview questions. Tell me about yourself. What they're really asking: What makes you the right fit for this job? ... . What do data analysts do? ... . What was your most successful/most challenging data analysis project? ... . What's the largest data set you've worked with?. What are the four main things we should know before studying 5 data analysis?Essential Skills for Data Analysts. SQL. SQL, or Structured Query Language, is the ubiquitous industry-standard database language and is possibly the most important skill for data analysts to know. ... . Microsoft Excel. ... . Critical Thinking. ... . R or Python–Statistical Programming. ... . Data Visualization. ... . Presentation Skills. ... . Machine Learning.. What are the 3 questions you should ask about supporting data?To sum it up, here are the most important data questions to ask:. What exactly do you want to find out?. What standard KPIs will you use that can help?. Where will your data come from?. How can you ensure data quality?. Which statistical analysis techniques do you want to apply?. |